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p_top="65"][vc_column][wbc_heading tag="h3" heading_style="heading-3" align="center" wbc_animation="slideInDown" title="|GEN AI APPS| ON RISE?" font_size="35" m_bottom="0"][wbc_heading tag="h3" heading_style="heading-3" align="center" wbc_animation="slideInDown" title="AI AGENTS, AI WORKFLOWS IN |BUSINESS|?" font_size="35" m_bottom="0"][wbc_heading tag="h3" heading_style="heading-3" align="center" title="|WORRIED| ABOUT SECURITY? " font_size="35" m_bottom="0"][wbc_hr height="5" width="85" bg_color="#ff6632"][vc_column_text] Left Unguarded, security risks around GenAI would lead to serious breaches, Enterprise fallouts. Organizations ride momentum to GenAI, for what is yet largest security risk. Adversarial attacks, LLM & Model Vulnerabilities Data Privacy violations, Copyright legal exposures, Sensitive information disclosures are only few among them. [/vc_column_text][vc_row_inner][vc_column_inner width="1/4"][wbc_icon_box display_type="img" box_style="center" wbc_animation="zoomInUp" heading="ADVERSARIAL ATTACKS" icon_size="65" icon_bg_color="#ffffff" icon_bg_color_hover="#ffffff" icon_img="1949" icon_color_hover="#ffffff" icon_border_color_hover="#ffffff" icon_outline_color="#ffffff" icon_outline_color_hover="#fd9528" icon_outline_spacing="8" icon_color="#ffffff" heading_size="25"]Attacks on AI Integrity, Data Manipulation, Poisoning, Evasion, Feature corruption attacks [/wbc_icon_box][/vc_column_inner][vc_column_inner width="1/4"][wbc_icon_box display_type="img" box_style="center" wbc_animation="zoomInUp" heading="PRIVACY, SENSITIVE INFORMATION, TRUST" icon_size="65" icon_bg_color="#fd9528" icon_color_hover="#ffffff" icon_color="#ffffff" icon_bg_color_hover="#ffffff" icon_img="1947" icon_border_color_hover="#ffffff" icon_outline_color_hover="#fd9528" icon_outline_spacing="8" icon_outline_color="#ffffff" heading_size="25"]Data privacy, Sensitive content, Copyright & Legal, InSecure LLM Tokenizers, Rogue manipulations, Prompt attacks.[/wbc_icon_box][/vc_column_inner][vc_column_inner width="1/4"][wbc_icon_box display_type="img" box_style="center" wbc_animation="zoomInUp" heading="LLM & MODEL VULNERABILITIES" icon_size="65" icon_bg_color="#ffffff" icon_color_hover="#ffffff" icon_color="#ffffff" icon_bg_color_hover="#ffffff" icon_img="1945" icon_outline_color_hover="#fd9528" icon_outline_spacing="8" icon_outline_color="#ffffff" heading_size="25"]Automated Vulnerabilities Scan, GenAI & AI Attack surface management, Recommendations, AI Security posture [/wbc_icon_box][/vc_column_inner][vc_column_inner width="1/4"][wbc_icon_box display_type="img" box_style="center" wbc_animation="zoomInUp" heading="INTEGRITY, GOVERNANCE, COMPLAINCE" icon_size="65" icon_bg_color="#fd9528" icon_color_hover="#ffffff" icon_color="#ffffff" icon_bg_color_hover="#ffffff" icon_img="1948" icon_border_color_hover="#ffffff" icon_outline_color_hover="#fd9528" icon_outline_spacing="8" icon_outline_color="#ffffff" heading_size="25"]Spills, Leaks, Contaminations, Inference, Training time attacks, Environmental, Transboundary pollutions.  [/wbc_icon_box][/vc_column_inner][/vc_row_inner][vc_empty_space height="20px"][vc_empty_space][vc_empty_space height="50px"][/vc_column][/vc_row][vc_row row_type="full_width" type="container" bg_select="bg_color_section" p_top="60" p_bottom="50" border_color="#ebebeb" anchor="About" bg_color="#ffffff"][vc_column][wbc_heading tag="h3" heading_style="heading-3" align="center" title="WE HAVE A |SOLUTION|" font_size="35" m_bottom="0"][wbc_heading tag="h1" heading_style="heading-3" align="center" title="|SECURITY| FOR GEN AI APPS, AI AGENTS, WORKFLOWS" font_size="35" m_bottom="0"][wbc_heading tag="h3" heading_style="heading-3" align="center" title="END-TO-END, |INTEROPERABLE|" font_size="35" m_bottom="0"][wbc_hr height="5" width="85" bg_color="#ff6632"][wbc_heading tag="div" align="center" title="Designed for the enterprise. |Enhance, Optimize, Manage| security of Generative AI applications and workflows" font_size="25" m_bottom="37" max_width="750" m_left="auto" m_right="auto"][/vc_column][vc_column width="1/2"][vc_empty_space height="160px"][vc_tta_pageable no_fill_content_area="true" autoplay="20" active_section="1" pagination_style="outline-square" css_animation="none" css=".vc_custom_1726183319861{background-color: #f9f9f9 !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;border-radius: 5px !important;}"][vc_tta_section title="Section 1" tab_id="1722657998050-4040a871-ec3d"][video_player_for_wpbakery video="1784" controls="" autoplay="autoplay" muted="muted" loop="loop"][/vc_tta_section][vc_tta_section title="Section 3" tab_id="1722707112966-0a941959-ec34"][video_player_for_wpbakery video="1788" controls="" autoplay="autoplay" muted="muted" loop="loop"][/vc_tta_section][vc_tta_section title="Section 3" tab_id="1725135056120-87e686b5-47d7"][video_player_for_wpbakery video="1776" controls="" autoplay="autoplay" muted="muted" loop="loop"][/vc_tta_section][/vc_tta_pageable][/vc_column][vc_column width="1/2"][wbc_heading tag="h4" heading_style="heading-3" title="UNCOVER SECURITY BLIND SPOTS" font_size="25" m_bottom="0"][vc_empty_space height="20px"][wbc_heading tag="h3" heading_style="heading-1" title="AI ENVIRONMENTS ARE COMPLEX, VULNERABLE, MULTI-PRONGED" font_size="35" m_bottom="0"][wbc_hr height="5" width="85" bg_color="#ff6632" m_left="0"][wbc_heading tag="div" title="Generative AI is the new IT Perimeter. Data science is new Security Realm." font_size="25" m_bottom="15" max_width="750" m_left="auto" m_right="auto" m_top="auto"][wbc_button button_text="TURN COMPLEXITY INTO CLARITY" align_button="left" font_size="25" hover_bg_color="#fbfbfb" hover_border_color="#fbfbfb" hover_color="#0058f2" color="#000000" bg_color="#ffffff" padding_left="0" el_class="scroll-button" link="url:%231722707112966-0a941959-ec34" padding_top="0" padding_bottom="0" margin_top="0" margin_bottom="0"][vc_column_text]Discover, track, alert on insecure access, unusual usage of AI assets. Trace back to single point-of-origin with AI lineage. 360 view command, control, reconnaissance, lateral movements.x[/vc_column_text][wbc_button button_text="ADVERSARIAL LLM & ML THREAT DETECTION" align_button="left" font_size="25" hover_bg_color="#ffffff" hover_border_color="#ffffff" hover_color="#0058f2" color="#000000" bg_color="#ffffff" padding_left="0" link="url:%231725135056120-87e686b5-47d7" el_class="scroll-button" padding_top="0" padding_bottom="0" padding_right="auto" margin_top="0" margin_bottom="0" margin_left="0" margin_right="0"][vc_column_text]Detect Adversarial threats on LLMs, Models, poison, evasion, exfiltration, infiltration, feature corruption attacks using IOC, IOA's, threat intelligence. Detect malicious injected exploitable deltas.[/vc_column_text][wbc_button button_text="LLM & MODEL VULNERABILITIES MANAGEMENT" align_button="left" font_size="25" hover_bg_color="#fbfbfb" hover_border_color="#fbfbfb" hover_color="#0058f2" color="#000000" bg_color="#ffffff" padding_left="0" el_class="scroll-button" link="url:%231722657998050-4040a871-ec3d" padding_top="0" padding_bottom="0" margin_top="0" margin_bottom="0"][vc_column_text]Automated LLM and model Vulnerability scan. Domain-specific integration. Recommendations, Reviews,Issues, Model, LLM, Prompt, RAG Vulnerability database.[/vc_column_text][/vc_column][/vc_row][vc_row row_type="full_width" type="container" bg_select="bg_color_section" p_top="60" p_bottom="50" border_color="#ebebeb" anchor="mobile-app"][vc_column width="1/2"][wbc_heading tag="h4" heading_style="heading-3" title="SECURE WAY TO USE AI FOR BUSINESS" font_size="25" m_bottom="0"][wbc_heading tag="h3" heading_style="heading-1" title="STOP RISKS THAT STEAL INTELLIGENCE AND DERAIL OPERATIONS" font_size="35" m_bottom="0"][wbc_hr height="5" width="85" bg_color="#ff6632" m_left="0"][wbc_heading tag="div" title="Generative AI is New Attack Vector endangering Enterprises. Elevate Security for high-value use cases. Ensure the reliability and trustworthiness of LLMs." font_size="22" m_bottom="5" max_width="750" m_left="auto" m_right="auto" p_top="0" p_bottom="0"][wbc_button button_text="DETECT ROGUE MODELS, RISKY PIPELINES," align_button="left" font_size="25" hover_bg_color="#fbfbfb" hover_border_color="#fbfbfb" hover_color="#0058f2" color="#000000" bg_color="#ffffff" padding_left="0" link="url:%231725134549782-2a2097b8-eb5c" el_class="scroll-button" padding_top="10" padding_bottom="0"][wbc_button button_text="HARMFUL PROMPTS" align_button="left" font_size="25" hover_bg_color="#fbfbfb" hover_border_color="#fbfbfb" hover_color="#0058f2" color="#000000" bg_color="#ffffff" padding_left="0" link="url:%231725134549782-2a2097b8-eb5c" el_class="scroll-button" padding_top="10" padding_bottom="0"][vc_column_text]Training, Evaluation, Inference analytics, Log anomaly detection, Metric anomaly detection, Model behavior analytics, Prompt usage analytics, detect corrupt outputs. Severity, Explainability, Compliance scores. Recommendations, Reviews.[/vc_column_text][wbc_button button_text="ZERO-TRUST LLMs, ENSURE INTEGRITY," align_button="left" font_size="25" hover_bg_color="#ffffff" hover_border_color="#ffffff" hover_color="#0058f2" color="#000000" bg_color="#ffffff" padding_left="0" link="url:%231725134421148-24abbde7-41d3" el_class="scroll-button" padding_top="0" padding_bottom="0" margin_top="0" margin_bottom="0"][wbc_button button_text="RELIABILITY OF LLM's" align_button="left" font_size="25" hover_bg_color="#ffffff" hover_border_color="#ffffff" hover_color="#0058f2" color="#000000" bg_color="#ffffff" padding_left="0" link="url:%231725134421148-24abbde7-41d3" el_class="scroll-button" padding_top="0" padding_bottom="0" margin_top="0" margin_bottom="0"][vc_column_text]Use domain-specific guardrails. Audit upstream dependency pipelines. Integrity verifications at runtime. Detect tokenizer manipulations in LLMs. Monitor Tokenizer for files any supply chain attacks.[/vc_column_text][wbc_button button_text="SECURE ACCESS TO AI RESOURCES IN AI ENVIRONMENTS" align_button="left" font_size="25" hover_bg_color="#fbfbfb" hover_border_color="#fbfbfb" hover_color="#0058f2" color="#000000" bg_color="#ffffff" padding_left="0" link="url:%231724502197959-c60efa6e-15ac" el_class="scroll-button" padding_top="0" padding_bottom="0" margin_top="0" margin_bottom="0"][vc_column_text]Ensure security controls to LLM’s ready for enterprise infrastructure. Assign the AI service roles on the AI resource's to Managed identities. SPOT and STOP Attacks your AI compute, gpu, ext,int traffic, denial attacks.[/vc_column_text][/vc_column][vc_column width="1/2"][vc_empty_space height="256px"][vc_tta_pageable no_fill_content_area="true" autoplay="20" active_section="1" pagination_style="outline-square" css_animation="none"][vc_tta_section title="Section 1" tab_id="1724502197959-c60efa6e-15ac"][video_player_for_wpbakery video="1783" controls="" autoplay="autoplay" muted="muted" loop="loop"][/vc_tta_section][vc_tta_section title="Section 1" tab_id="1725134421148-24abbde7-41d3"][video_player_for_wpbakery video="1779" controls="" autoplay="autoplay" muted="muted" loop="loop"][/vc_tta_section][vc_tta_section title="Section 1" tab_id="1725134549782-2a2097b8-eb5c"][video_player_for_wpbakery video="1780" controls="" autoplay="autoplay" muted="muted" loop="loop"][/vc_tta_section][/vc_tta_pageable][/vc_column][/vc_row][vc_row row_type="full_width" type="container" bg_select="bg_color_section" p_top="55" p_bottom="0" border_color="#ebebeb" anchor="mobile-app" bg_color="#ffffff" m_top="0" m_bottom="0"][vc_column width="1/2" p_bottom="0" m_bottom="0"][vc_empty_space height="256px"][vc_tta_pageable no_fill_content_area="true" autoplay="20" active_section="1" pagination_style="outline-square" css_animation="none" css=".vc_custom_1726183045693{background-color: #f9f9f9 !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;border-radius: 5px !important;}"][vc_tta_section title="Section 3" tab_id="1724550207880-ed0d0701-3ed0"][video_player_for_wpbakery video="1782" controls="" autoplay="autoplay" muted="muted" loop="loop"][/vc_tta_section][vc_tta_section title="Section 3" tab_id="1725133869370-879a4bc8-e560"][video_player_for_wpbakery video="1781" controls="" autoplay="autoplay" muted="muted" loop="loop"][/vc_tta_section][vc_tta_section title="Section 3" tab_id="1725133925576-7a18b8c2-4bdb"][video_player_for_wpbakery video="1787" controls="" autoplay="autoplay" muted="muted" loop="loop"][/vc_tta_section][/vc_tta_pageable][/vc_column][vc_column width="1/2"][wbc_heading tag="h4" heading_style="heading-3" title="SENSITIVE, COPYRIGHT LEGAL, PRIVACY" font_size="25" m_bottom="0"][wbc_heading tag="h3" heading_style="heading-1" title="ENHANCE PRIVACY WITH DOMAIN SPECIFIC GUARDRAILS" font_size="35" m_bottom="0"][wbc_hr height="5" width="85" bg_color="#ff6632" m_left="0"][wbc_heading tag="div" title="Generative AI opens up all kinds of opportunities to obtain sensitive data. Generative AI pose the greatest risk yet with a variety of concerns around." font_size="25" m_bottom="37" max_width="750" m_left="auto" m_right="auto"][wbc_button button_text="IDENTIFY AND OBFUSCATE SENSITIVE INFORMATION" align_button="left" font_size="25" hover_bg_color="#fbfbfb" hover_border_color="#fbfbfb" hover_color="#0058f2" color="#000000" bg_color="#ffffff" padding_left="0" link="url:%231725133869370-879a4bc8-e560" el_class="scroll-button"][vc_column_text]Detect, Redact, Alert Sensitive information disclosures, Data privacy violations, PII, PHI, Copyright Legal exposures in all Generative AI applications in environment.[/vc_column_text][wbc_button button_text="INTEGRATION WITH TOP GENERATIVE AI PLATFORMS" align_button="left" font_size="25" hover_bg_color="#ffffff" hover_border_color="#ffffff" hover_color="#0058f2" color="#000000" bg_color="#ffffff" padding_left="0" link="url:%231724550207880-ed0d0701-3ed0" el_class="scroll-button"][vc_column_text]Interoperable with your GenAI stack integrations with top providers, platforms, tools.[/vc_column_text][wbc_button button_text="AI FORENSICS, GOVERNANCE, COMPLIANCE" align_button="left" font_size="25" hover_bg_color="#fbfbfb" hover_border_color="#fbfbfb" hover_color="#0058f2" color="#000000" bg_color="#ffffff" padding_left="0" link="url:%231724550207880-ed0d0701-3ed0" el_class="scroll-button"][vc_column_text]Enriched ADR (AI Detection & Response) events with Alert data and forward to SIEM.[/vc_column_text][/vc_column][/vc_row][vc_row row_type="full_width" type="container" bg_select="bg_color_section" p_top="60" p_bottom="35" border_color="#ebebeb" anchor="services"][vc_column][wbc_heading tag="h4" heading_style="heading-3" align="center" wbc_animation="slideInDown" title="DESIGNED FOR ENTERPRISE" font_size="30" m_bottom="0"][wbc_heading tag="h3" heading_style="heading-3" align="center" title="ALERT AI |#1 GEN AI SECURITY PLATFORM OF CHOICE|" font_size="40" m_bottom="0"][wbc_hr height="5" width="85" bg_color="#ff6632"][wbc_heading tag="div" align="center" title="With over 100+ integrations and 1000+ detections, domain-specific security guardrails, easy-to-deploy and manage security platform seamlessly integrates AI workflows and applications." font_size="25" m_bottom="43" max_width="750" m_left="auto" m_right="auto"][/vc_column][vc_column width="1/3"][wbc_icon_box display_type="img" box_style="center" icon_style="square" icon_extra="outline" wbc_animation="zoomIn" heading="DISCOVERY" icon_size="70" box_link="url:https%3A%2F%2Falertai.com%2Fgenerative-ai-security-llm-security-services" icon_img="1948" icon_outline_color_hover="#ffffff" icon_outline_spacing="8" icon_color_hover="#ffffff" icon_border_color_hover="#ffffff" icon_bg_color="#ffffff" icon_bg_color_hover="#ffffff" heading_size="25"] Discovery Alerts AI assets, AI Inventory, Catalog, Models, LLM's, Training, Inference Pipelines, Prompts, Cluster resources, Compute, Networks    [/wbc_icon_box][wbc_icon_box display_type="img" box_style="center" wbc_animation="zoomIn" heading="LLM & ML PIPELINE ANALYTICS" icon_size="70" icon_img="1952" icon_outline_spacing="8" box_link="url:https%3A%2F%2Falertai.com%2Fgenerative-ai-security-llm-security-services%23ThreatDetection" heading_size="25"]Pipeline Alerts LLM and ML Pipelines Training, Evaluation, Inference Metrics, Recommendations, Data skew detection, Spills, leaks, Rogue pipelines, Run, Usage Alerts.        [/wbc_icon_box][wbc_icon_box display_type="img" box_style="center" wbc_animation="zoomIn" heading="PRIVACY, SENSITIVE INFORMATION" icon_size="70" icon_img="1962" icon_outline_spacing="8" box_link="url:https%3A%2F%2Falertai.com%2Fgenerative-ai-security-llm-security-services%23PrivacySensitiveContent" icon_color_hover="#ee7125" heading_size="25"] Data Privacy Alerts Detection, Redaction and PII, PHI Obfuscation, Data privacy in Prompt response queries, embeddings, Copyright and Legal exposures, Removal requests, Suppression list entries, Sensitive content filters    [/wbc_icon_box][/vc_column][vc_column width="1/3" content_align="text-center"][wbc_icon_box display_type="img" box_style="center" wbc_animation="zoomIn" heading="TRACKING ANALYTICS" icon_size="70" box_link="url:https%3A%2F%2Falertai.com%2Fgenerative-ai-security-llm-security-services%23DiscoveryTrackingLineage|title:Alert%20AI%20security%20integration" icon_img="1950" icon_outline_spacing="8" heading_size="25"] Tracking Alerts Experiments, Jobs, Runs, Datasets, Models, Versions, Artifacts, Parameters,Metrics, Predictions, LLM's Interactions, Prompts, Tokenizers  [/wbc_icon_box][wbc_icon_box display_type="img" box_style="center" wbc_animation="zoomIn" heading="LLM & MODEL VULNERABILITIES" icon_size="60" box_link="url:https%3A%2F%2Falertai.com%2Fgenerative-ai-security-llm-security-services%23Vulnerabilities|title:Pipeline%20Detection" icon_img="1956" icon_outline_spacing="8" heading_size="25"]Vulnerability scan Alerts LLM and Model vulnerabilities, Prompt Injection, Perturbations, Information Exposures, Hallucination, Misinformation, categorization, recommendations.      [/wbc_icon_box][wbc_icon_box display_type="img" box_style="center" wbc_animation="zoomIn" heading="ADVERSARIAL THREAT DETECTION" icon_size="70" icon_img="1978" icon_outline_spacing="8" box_link="url:https%3A%2F%2Falertai.com%2Fgenerative-ai-security-llm-security-services%23ThreatDetection" heading_size="25"] Indicators, Threat Data, Alerts Security models for Adversarial ML & LLM attacks, Indicators of Attack, Indicators of Compromise, Threat modelling, Feature extraction,Metrics, Events, Logs, Trace data, Anomaly detection Alerts.  [/wbc_icon_box][/vc_column][vc_column width="1/3" content_align="text-center"][wbc_icon_box display_type="img" box_style="center" wbc_animation="zoomIn" heading="AI LINEAGE" icon_size="70" icon_img="1955" icon_outline_spacing="8" box_link="url:https%3A%2F%2Falertai.com%2Fgenerative-ai-security-llm-security-services%23DiscoveryTrackingLineage" heading_size="25"]Data Lineage Alerts Identify Data sources, Data types, Versions, Map, Topology of Data origin and their Lineage, Detect data contamination attacks, environmental risks in LLM & ML, training copyright, classified data[/wbc_icon_box][wbc_icon_box display_type="img" box_style="center" wbc_animation="zoomIn" heading="PROMPT SECURITY & INTEGRITY" icon_size="70" icon_img="1980" icon_outline_spacing="8" box_link="url:https%3A%2F%2Falertai.com%2Fgenerative-ai-security-llm-security-services%23PrivacySensitiveContent" heading_size="25"] Prompt usage Alerts Prompt injections, Embedding operations, Response Alerts, Token utilization, Model Utilization, Token transaction Alerts, Secure LLM Tokenizer, Application Integrity, Insecure prompts, RAG, fine-tuning Alerts [/wbc_icon_box][wbc_icon_box display_type="img" box_style="center" wbc_animation="zoomIn" heading="AI FORENSICS" icon_size="70" icon_img="1961" icon_outline_spacing="8" 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A lot of the trends in the world are accelerating the movement to what we do. Customers are in AI. Now they are exploring Generative AI in Business. They want enhance, optimize, manage security and integrity of their AI applications. They want to protect models, intelligence, privacy — all of the stuff we are doing. I feel like we’re in the bullseye of where the world’s going``. | - Srini Mommileti CEO, ALERT AI, Ex Palo Alto Networks, Ex Gigamon|" font_size="25" color="#000000" p_top="40" wbc_color="#919191"][vc_btn title="JOIN OUR DEMO" color="danger" align="center" css_animation="slideInDown" css=".vc_custom_1725137639560{margin-top: 20px !important;margin-bottom: 80px !important;margin-left: -100px !important;}" link="url:%23contact"][/vc_column][/vc_row][vc_row row_type="full_width" type="full_screen" p_top="70" p_bottom="130" bg_color="#ffffff"][vc_column wbc_animation="slideInDown"][wbc_heading tag="h4" heading_style="heading-3" align="center" wbc_animation="slideInDown" title="ABOVE AND BEYOND" font_size="14" m_bottom="0" color="#ffffff"][wbc_heading tag="h4" heading_style="heading-3" align="center" title="ABOVE AND BEYOND" font_size="25" m_bottom="0" color="#000000" wbc_color="#ff6632"][wbc_heading tag="h3" heading_style="heading-3" align="center" title="|OUR| MILESTONES" font_size="40" m_bottom="0" color="#000000" wbc_color="#ff6632"][wbc_hr height="5" width="85" bg_color="#ff6632"][wbc_heading tag="div" align="center" title="We are at intersection of AI and Cyber Warfare. 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href="https://alertai.com">Home</a></li><li><a href="https://alertai.com/llm-security-generative-ai-security-vulnerabilities-privacy-model-risks/">Resources</a></li><li><a href="https://alertai.com/llm-security-generative-ai-security-model-vulnerabilities-privacy-trust-threats/">Services</a></li><li>LLM Evaluation Pipelines and Security context</li></ul></div></div>  <div class="main-content-area clearfix"> <div class="container"> <div class="row"> <div class="col-md-9"> <div class="posts"> <article id="post-1869" class="clearfix post-1869 post type-post status-publish format-standard has-post-thumbnail hentry category-llm-security-generative-ai-security-vulnerabilities-privacy-model-risks category-llm-security-generative-ai-security-model-vulnerabilities-privacy-trust-threats"> <div class="post-featured"> <div class="wbc-image-wrap"><img fetchpriority="high" width="1024" height="576" src="https://alertai.com/wp-content/uploads/2024/08/iStock-blue-corridor-tunnel-1024x576.jpg" class="attachment-large size-large wp-post-image" alt="Model risks LLM-risks, Gen AI risks" decoding="async" srcset="https://alertai.com/wp-content/uploads/2024/08/iStock-blue-corridor-tunnel-1024x576.jpg 1024w, https://alertai.com/wp-content/uploads/2024/08/iStock-blue-corridor-tunnel-300x169.jpg 300w, https://alertai.com/wp-content/uploads/2024/08/iStock-blue-corridor-tunnel-768x432.jpg 768w, https://alertai.com/wp-content/uploads/2024/08/iStock-blue-corridor-tunnel-1536x864.jpg 1536w, https://alertai.com/wp-content/uploads/2024/08/iStock-blue-corridor-tunnel-2048x1152.jpg 2048w, https://alertai.com/wp-content/uploads/2024/08/iStock-blue-corridor-tunnel-1140x641.jpg 1140w, https://alertai.com/wp-content/uploads/2024/08/iStock-blue-corridor-tunnel-848x477.jpg 848w, https://alertai.com/wp-content/uploads/2024/08/iStock-blue-corridor-tunnel-320x180.jpg 320w, https://alertai.com/wp-content/uploads/2024/08/iStock-blue-corridor-tunnel-480x270.jpg 480w, https://alertai.com/wp-content/uploads/2024/08/iStock-blue-corridor-tunnel-800x450.jpg 800w" sizes="(max-width: 1024px) 100vw, 1024px" /> <div class="item-link-overlay"></div> <div class="wbc-extra-links"> <a data-fancybox title="Model risks LLM-risks" href="https://alertai.com/wp-content/uploads/2024/08/iStock-blue-corridor-tunnel.jpg" class="wbc-photo-up"><i class="fa fa-search"></i></a> </div> </div></div> <div class="post-contents"> <header class="post-header"> <h1 class="entry-title">LLM Evaluation Pipelines and Security context</h1> <div class="entry-meta"> <span class="date"><i class="far fa-calendar-alt"></i> August 28, 2024</span> <span class="user"><i class="fas fa-user"></i> By <a href="https://alertai.com/author/srinitagsecurity-ai/" title="Posts by Security Research, Alert AI" rel="author">Security Research, Alert AI</a></span> <span class="post-in"><i class="fas fa-pencil-alt"></i> In <a 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class="wpb_wrapper"> <p><b>What is the integration of LLM Evaluation with Pipelines?</b></p> <p>The integration of Large Language Model (LLM) evaluation with pipelines involves systematically incorporating the process of assessing the performance and effectiveness of LLMs into the broader workflow of data processing, model training, and deployment. This integration ensures that the LLMs are evaluated continuously and consistently, facilitating improvements and maintaining high standards. Here’s a detailed breakdown of how this can be done:</p> <h3><b>1. Defining Evaluation Metrics and Criteria</b></h3> <p>Before integrating LLM evaluation into pipelines, it’s crucial to define clear metrics and criteria for evaluation. These may include:</p> <ul> <li aria-level="1"><b>Accuracy</b>: The correctness of the responses generated by the model.</li> <li aria-level="1"><b>Fluency</b>: The linguistic quality and readability of the responses.</li> <li aria-level="1"><b>Relevance</b>: The appropriateness and pertinence of the responses to the input queries.</li> <li aria-level="1"><b>Bias and Fairness</b>: Assessing if the model’s outputs are free from biases.</li> <li aria-level="1"><b>Robustness</b>: The model’s performance under varying conditions, including adversarial inputs.</li> </ul> <h3><b>2. Building the Evaluation Pipeline</b></h3> <p>The evaluation pipeline is integrated into the overall machine learning pipeline, which may include stages such as data collection, preprocessing, model training, and deployment. The evaluation pipeline typically consists of the following steps:</p> <h4><b>a. Data Collection and Preparation</b></h4> <ul> <li aria-level="1"><b>Test Data</b>: Collect or generate a diverse and comprehensive set of test data that reflects real-world use cases.</li> <li aria-level="1"><b>Benchmarking Datasets</b>: Use established benchmarks to compare the LLM’s performance with other models.</li> </ul> <h4><b>b. Automated Evaluation</b></h4> <ul> <li aria-level="1"><b>Metric Calculation</b>: Implement automated scripts to calculate evaluation metrics. This can be done using libraries such as Hugging Face’s datasets and evaluate.</li> <li aria-level="1"><b>Batch Processing</b>: Evaluate the model on batches of test data to ensure scalability and efficiency.</li> </ul> <h4><b>c. Human-in-the-Loop Evaluation</b></h4> <ul> <li aria-level="1"><b>Human Review</b>: Incorporate human reviewers to assess aspects that are challenging to measure automatically, such as nuanced relevance or subtle biases.</li> <li aria-level="1"><b>Feedback Loop</b>: Create a system for reviewers to provide feedback that can be used to refine the model.</li> </ul> <h3><b>3. Integration with Continuous Integration/Continuous Deployment (CI/CD)</b></h3> <h4><b>a. Automated Testing</b></h4> <ul> <li aria-level="1"><b>Pre-Deployment Testing</b>: Include evaluation scripts in the CI/CD pipeline to run automatically before deploying new model versions.</li> <li aria-level="1"><b>Regression Testing</b>: Ensure that updates do not degrade the performance of the LLM by running regression tests.</li> </ul> <h4><b>b. Monitoring and Logging</b></h4> <ul> <li aria-level="1"><b>Real-Time Monitoring</b>: Implement monitoring tools to evaluate the model’s performance in real-time once deployed.</li> <li aria-level="1"><b>Logging</b>: Log evaluation metrics and errors for ongoing analysis and improvement.</li> </ul> <h3><b>4. Feedback and Iteration</b></h3> <h4><b>a. Model Tuning</b></h4> <ul> <li aria-level="1"><b>Hyperparameter Optimization</b>: Use evaluation feedback to optimize hyperparameters.</li> <li aria-level="1"><b>Fine-Tuning</b>: Fine-tune the model based on evaluation results and new data.</li> </ul> <h4><b>b. Continuous Improvement</b></h4> <ul> <li aria-level="1"><b>Iterative Development</b>: Continuously iterate on the model and evaluation processes to enhance performance.</li> <li aria-level="1"><b>User Feedback</b>: Incorporate feedback from end-users to refine the evaluation criteria and improve the model.</li> </ul> <h3><b>5. Tooling and Frameworks</b></h3> <p>Leveraging existing tools and frameworks can streamline the integration process:</p> <ul> <li aria-level="1"><b>Hugging Face</b>: Provides tools for model evaluation and integration with various pipelines.</li> <li aria-level="1"><b>MLflow</b>: Facilitates tracking experiments, logging evaluation metrics, and managing the model lifecycle.</li> <li aria-level="1"><b>TensorBoard</b>: Visualizes evaluation metrics and performance over time.</li> </ul> <p> </p> <h3><b><img decoding="async" class="alignnone size-full wp-image-1862" src="https://alertai.com/wp-content/uploads/2024/08/model-governance.jpg" alt="" width="854" height="570" srcset="https://alertai.com/wp-content/uploads/2024/08/model-governance.jpg 854w, https://alertai.com/wp-content/uploads/2024/08/model-governance-300x200.jpg 300w, https://alertai.com/wp-content/uploads/2024/08/model-governance-768x513.jpg 768w, https://alertai.com/wp-content/uploads/2024/08/model-governance-600x400.jpg 600w, https://alertai.com/wp-content/uploads/2024/08/model-governance-848x566.jpg 848w, https://alertai.com/wp-content/uploads/2024/08/model-governance-320x214.jpg 320w, https://alertai.com/wp-content/uploads/2024/08/model-governance-480x320.jpg 480w, https://alertai.com/wp-content/uploads/2024/08/model-governance-800x534.jpg 800w" sizes="(max-width: 854px) 100vw, 854px" /><img decoding="async" class="alignnone size-full wp-image-1870" src="https://alertai.com/wp-content/uploads/2024/08/eval-tokens.jpg" alt="" width="329" height="1275" srcset="https://alertai.com/wp-content/uploads/2024/08/eval-tokens.jpg 329w, https://alertai.com/wp-content/uploads/2024/08/eval-tokens-264x1024.jpg 264w, https://alertai.com/wp-content/uploads/2024/08/eval-tokens-320x1240.jpg 320w" sizes="(max-width: 329px) 100vw, 329px" /></b></h3> <h3></h3> <h3><b>Integration Workflow</b></h3> <ol> <li aria-level="1"><b>Data Ingestion</b>: Collect input data and expected outputs.</li> <li aria-level="1"><b>Preprocessing</b>: Clean and prepare data for evaluation.</li> <li aria-level="1"><b>Model Inference</b>: Generate model outputs for the input data.</li> <li aria-level="1"><b>Automated Evaluation</b>: Calculate evaluation metrics.</li> <li aria-level="1"><b>Human Evaluation</b>: Review and annotate model outputs.</li> <li aria-level="1"><b>CI/CD Pipeline</b>: Integrate automated evaluation scripts into CI/CD workflows.</li> <li aria-level="1"><b>Monitoring</b>: Track model performance in production.</li> <li aria-level="1"><b>Feedback Loop</b>: Collect feedback and iteratively improve the model.</li> </ol> <p>By integrating LLM evaluation with pipelines, organizations can ensure their models are continuously assessed and improved, leading to more reliable and effective language models in production.</p> <p> </p> <h3><b>Integration of LLM Evaluation with Pipelines</b></h3> <p>We will, in this example:</p> <ol> <li aria-level="1">Load a pre-trained LLM (e.g., GPT-2).</li> <li aria-level="1">Define evaluation metrics.</li> <li aria-level="1">Create an evaluation function.</li> <li aria-level="1">Integrate the evaluation function into a pipeline.</li> </ol> <h4><b>Step 1: Load Pre-trained LLM</b></h4> <p>First, install the necessary libraries:</p> <p>pip install transformers datasets evaluate</p> <p><install the transformers, datasets and its evaluation metric></p> <h4><b>Step 2: Define Evaluation Metrics</b></h4> <p>We will use metrics such as BLEU score for evaluation.</p> <p>from transformers import GPT2Tokenizer, GPT2LMHeadModel</p> <p>from datasets import load_metric</p> <p> </p> <p># Load the pre-trained model and tokenizer</p> <p>model_name = ‘gpt2’</p> <p>model = GPT2LMHeadModel.from_pretrained(model_name)</p> <p>tokenizer = GPT2Tokenizer.from_pretrained(model_name)</p> <p> </p> <p># Load the BLEU metric</p> <p>bleu_metric = load_metric(‘bleu’)</p> <p> </p> <h4><b>Step 3: Create Evaluation Function</b></h4> <p>Define a function to generate text and calculate the BLEU score.</p> <p>import torch</p> <p>def evaluate_model(model, tokenizer, inputs, references, max_length=50):</p> <p>model.eval()</p> <p>generated_texts = []</p> <p>for input_text in inputs:</p> <p>inputs_ids = tokenizer.encode(input_text, return_tensors=’pt’)</p> <p>outputs = model.generate(inputs_ids, max_length=max_length, num_return_sequences=1)</p> <p>generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)</p> <p>generated_texts.append(generated_text)</p> <p> </p> <p># Calculate BLEU score</p> <p>results = bleu_metric.compute(predictions=[generated_text.split() for generated_text in generated_texts],</p> <p>references=[[ref.split()] for ref in references])</p> <p> </p> <p>return results</p> <p> </p> <h4><b>Step 4: Integrate Evaluation Function into Pipeline</b></h4> <p>Create a simple pipeline that includes model evaluation.</p> <p>def pipeline(model, tokenizer, test_data):</p> <p>inputs = [example[‘input_text’] for example in test_data]</p> <p>references = [example[‘reference_text’] for example in test_data]</p> <p># Evaluate the model</p> <p>evaluation_results = evaluate_model(model, tokenizer, inputs, references)</p> <p> </p> <p>print(f”BLEU Score: {evaluation_results[‘bleu’]:.4f}”)</p> <p># Example test data</p> <p>test_data = [</p> <p>{“input_text”: “The weather today is”, “reference_text”: “The weather today is sunny and warm.”},</p> <p>{“input_text”: “Once upon a time”, “reference_text”: “Once upon a time, there was a brave knight.”}</p> <p>]</p> <p># Run the pipeline</p> <p>pipeline(model, tokenizer, test_data)</p> <p> </p> <h3><b>What is LLM Tokenization?</b></h3> <p>LLM tokenization is the process of converting a sequence of text into smaller units called tokens, which are the basic building blocks used by the model to understand and generate text. Tokenization is a crucial step in natural language processing (NLP) as it transforms human-readable text into a format that can be processed by a machine learning model.</p> <h3><b>Key Concepts of LLM Tokenization</b></h3> <ol> <li aria-level="1"><b>Tokens</b>: <ul> <li aria-level="2"><b>Definition</b>: Tokens can be words, subwords, characters, or symbols, depending on the tokenization strategy used.</li> <li aria-level="2"><b>Purpose</b>: They represent the smallest units of meaning that the model processes.</li> </ul> </li> <li aria-level="1"><b>Tokenizers</b>: <ul> <li aria-level="2"><b>Definition</b>: Tokenizers are algorithms or tools that perform the task of tokenization.</li> <li aria-level="2"><b>Types</b>: Different types of tokenizers exist, such as word-level tokenizers, subword-level tokenizers (like Byte Pair Encoding), and character-level tokenizers.</li> </ul> </li> </ol> <h3><b>Types of Tokenization</b></h3> <ol> <li aria-level="1"><b>Word-Level Tokenization</b>: <ul> <li aria-level="2"><b>Description</b>: Splits text into individual words based on spaces and punctuation.</li> <li aria-level="2"><b>Pros</b>: Simple and intuitive.</li> <li aria-level="2"><b>Cons</b>: Inefficient for handling rare words or languages with rich morphology.</li> </ul> </li> <li aria-level="1"><b>Subword-Level Tokenization</b>: <ul> <li aria-level="2"><b>Byte Pair Encoding (BPE)</b>: <ul> <li aria-level="3"><b>Description</b>: A method that merges the most frequent pairs of characters or character sequences iteratively.</li> <li aria-level="3"><b>Pros</b>: Efficiently handles rare and unknown words by breaking them into common subword units.</li> </ul> </li> <li aria-level="2"><b>WordPiece</b>: <ul> <li aria-level="3"><b>Description</b>: Similar to BPE, used by models like BERT.</li> <li aria-level="3"><b>Pros</b>: Balances between word-level and character-level tokenization.</li> </ul> </li> <li aria-level="2"><b>Unigram Language Model</b>: <ul> <li aria-level="3"><b>Description</b>: Selects a subset of subwords based on a probabilistic model.</li> <li aria-level="3"><b>Pros</b>: Allows more flexibility in tokenization.</li> </ul> </li> </ul> </li> <li aria-level="1"><b>Character-Level Tokenization</b>: <ul> <li aria-level="2"><b>Description</b>: Splits text into individual characters.</li> <li aria-level="2"><b>Pros</b>: Handles any text without the need for a predefined vocabulary.</li> <li aria-level="2"><b>Cons</b>: Produces longer sequences, making the model slower and less efficient.</li> </ul> </li> </ol> <p> </p> <h3><b>How Tokenization Works in LLMs?</b></h3> <ol> <li aria-level="1"><b>Vocabulary</b>: <ul> <li aria-level="2"><b>Definition</b>: A predefined set of tokens that the model recognizes.</li> <li aria-level="2"><b>Purpose</b>: Each token in the text is mapped to an index in the vocabulary.</li> </ul> </li> <li aria-level="1"><b>Tokenization Process</b>: <ul> <li aria-level="2"><b>Text Input</b>: The raw text input is provided to the tokenizer.</li> <li aria-level="2"><b>Splitting</b>: The text is split into tokens based on the chosen tokenization strategy.</li> <li aria-level="2"><b>Mapping</b>: Each token is mapped to its corresponding index in the vocabulary.</li> <li aria-level="2"><b>Output</b>: The tokenizer outputs a sequence of token IDs, which are fed into the LLM.</li> </ul> </li> </ol> <h3><b>Examples of Tokenizers in LLMs</b></h3> <ol> <li aria-level="1"><b>GPT-3 Tokenizer</b>: <ul> <li aria-level="2">Uses a variant of Byte Pair Encoding.</li> <li aria-level="2">Text is efficiently tokenized into subwords and handles a vast vocabulary.</li> </ul> </li> <li aria-level="1"><b>BERT Tokenizer</b>: <ul> <li aria-level="2">Uses the WordPiece tokenization method.</li> <li aria-level="2">Balances word and subword tokens to handle a wide range of linguistic phenomena.</li> </ul> </li> </ol> <h3><b>Importance of Tokenization</b></h3> <ol> <li aria-level="1"><b>Efficiency</b>: <ul> <li aria-level="2">Reduces the complexity of text data by breaking it into manageable pieces.</li> <li aria-level="2">Allows models to handle a large and diverse vocabulary efficiently.</li> </ul> </li> <li aria-level="1"><b>Model Performance</b>: <ul> <li aria-level="2">Affects the model’s ability to learn and generate text. If we do not use tokenization then it would increase the computational complexity and lower their model’s accuracy and performance.</li> <li aria-level="2">Proper tokenization ensures that the model captures meaningful patterns in the data.</li> </ul> </li> <li aria-level="1"><b>Flexibility</b>: <ul> <li aria-level="2">Subword tokenization handles out-of-vocabulary words and rare terms, making the model robust to various inputs.</li> </ul> </li> </ol> <h3><b>Challenges in Tokenization</b></h3> <ol> <li aria-level="1"><b>Ambiguity</b>: <ul> <li aria-level="2">Homonyms and polysemous words can be challenging to tokenize correctly without context.</li> </ul> </li> <li aria-level="1"><b>Language Diversity</b>: <ul> <li aria-level="2">Different languages have different tokenization needs, especially languages with complex morphology or writing systems.</li> </ul> </li> <li aria-level="1"><b>Trade-offs</b>: <ul> <li aria-level="2">Balancing between word-level and character-level tokenization to optimize for model size and performance.</li> </ul> </li> </ol> <h3><b>Security Context</b></h3> <p>Adversarial attacks on Training, Evaluation pipelines</p> <p>Prompt security and Tokenizer security</p> <p>Tokenizer manipulation attacks</p> <p>Insufficient validation when initializing tokenizers</p> <p>Encoding or decoding attacks</p> <p>Suble bias introduction Attack</p> <p>Prompt injection attack</p> <p>Expensive repeat requests Attacks</p> <p>Long-running requests attacks<br /> Divergence attacks</p> <p> </p> <h3><b>Conclusion</b></h3> <p>In summary, LLM tokenization is a fundamental step in preparing text data for large language models. It involves breaking down text into tokens, which are then used by the model to process and generate text. The choice of tokenization strategy can significantly impact the efficiency and performance of the model.</p> <p> </p> <p><strong>About Alert AI</strong></p> <p>Alert AI is end-to-end, Interoperable Generative AI security platform to help enhance security of Generative AI applications and workflows against potential adversaries, model vulnerabilities, privacy, copyright and legal exposures, sensitive information leaks, Intelligence and data exfiltration, infiltration at training and inference, integrity attacks in AI applications, anomalies detection and enhanced visibility in AI pipelines. forensics, audit,AI governance in AI footprint.</p> <p> </p> <p>What is at stake AI & Gen AI in Business? We are addressing exactly that.</p> <p>Generative AI security solution for Healthcare, Insurance, Retail, Banking, Finance, Life Sciences, Manufacturing.</p> <p>Despite the Security challenges, the promise of Generative AI is enormous.</p> <p>We are committed to enhance the security of Generative AI applications and workflows in industries and enterprises to reap the benefits .</p> <p> </p> <p><strong>Alert AI 360 view and Detections</strong></p> <ul> <li aria-level="1">Alerts and Threat detection in AI footprint</li> <li aria-level="1">LLM & Model Vulnerabilities Alerts</li> <li aria-level="1">Adversarial ML Alerts</li> <li aria-level="1">Prompt, response security and Usage Alerts</li> <li aria-level="1">Sensitive content detection Alerts</li> <li aria-level="1">Privacy, Copyright and Legal Alerts</li> <li aria-level="1">AI application Integrity Threats Detection</li> <li aria-level="1">Training, Evaluation, Inference Alerts</li> <li aria-level="1">AI visibility, Tracking & Lineage Analysis Alerts</li> <li aria-level="1">Pipeline analytics Alerts</li> <li aria-level="1">Feedback loop</li> <li aria-level="1">AI Forensics</li> <li aria-level="1">Compliance Reports</li> </ul> <p> </p> <p>End-to-End Security with</p> <ul> <li aria-level="1">Data alerts</li> <li aria-level="1">Model alerts</li> <li aria-level="1">Pipeline alerts</li> <li aria-level="1">Evaluation alerts</li> <li aria-level="1">Training alerts</li> <li aria-level="1">Inference alerts</li> <li aria-level="1">Model Vulnerabilities</li> <li aria-level="1">Llm vulnerability</li> <li aria-level="1">Privacy</li> <li aria-level="1">Threats</li> <li aria-level="1">Resources</li> <li aria-level="1">Environments</li> <li aria-level="1">Governance and Compliance</li> </ul> <p> </p> <p>Organizations need to responsibly assess and enhance the security of their AI environments development, staging, production for Generative AI applications and Workflows in Business.</p> </div> </div> </div> </div> </div> </div> </div> <div class="clearfix"></div> </div> </div> </article>    <div class="comment-block"> <div class="heading no-comments" id="comments"> <h4>No Comments</h4> </div> <div id="respond" class="comment-form"> <div class="heading"> <h4>Leave a Reply</h4> </div> <small><a rel="nofollow" id="cancel-comment-reply-link" href="/integration-of-llm-evaluation-with-pipelines-and-security-context/#respond" style="display:none;">Cancel reply</a></small> <form action="https://alertai.com/wp-comments-post.php?wpe-comment-post=alertai" method="post" id="reply" class="form-horizontal"> <div class="row"><p class="comment-form-author col-sm-6 col-md-4"><label for="author">Name <span class="required">*</span></label> <input id="author" name="author" type="text" value="" size="30" aria-required='true' /></p> <p class="comment-form-email col-sm-6 col-md-4"><label for="email">Email <span class="required">*</span></label> <input id="email" name="email" type="text" value="" size="30" aria-required='true' 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industries,GEN AI solutions,LLM Testing, GenAI testing" /> </a> <a class="item-link-overlay" href="https://alertai.com/generative-ai-security-llm-security-models-risks/security-context-and-impact-of-generative-ai-in-retail-industry/"></a> <div class="wbc-extra-links"> <a href="https://alertai.com/generative-ai-security-llm-security-models-risks/security-context-and-impact-of-generative-ai-in-retail-industry/" class="wbc-go-link"><i class="fa fa-link"></i></a> </div> </div></div><div class="widget-content"><h6><a href="https://alertai.com/generative-ai-security-llm-security-models-risks/security-context-and-impact-of-generative-ai-in-retail-industry/">Retail Industry – Generative AI security</a></h6><p>Generative AI in Retail. The Evolving Business Mod...</p></div></li><li><div class="wbc-recent-post-img"> <div class="wbc-image-wrap"> <a href="https://alertai.com/generative-ai-security-llm-security-models-risks/security-generative-ai-llms-life-sciences-drug-discovery-research/"><img width="150" height="150" src="https://alertai.com/wp-content/uploads/2024/08/iStock-network-glow-150x150.jpg" class="attachment-thumbnail size-thumbnail wp-post-image" alt="GEN AI security, Generative AI security,Security for Generative AI AI,LLM security,Model security,Prompt security,RAG security, GenAI risks,GenAI vulnerabilities, AI governance, AI privacy, AI compliance" /> </a> <a class="item-link-overlay" href="https://alertai.com/generative-ai-security-llm-security-models-risks/security-generative-ai-llms-life-sciences-drug-discovery-research/"></a> <div class="wbc-extra-links"> <a href="https://alertai.com/generative-ai-security-llm-security-models-risks/security-generative-ai-llms-life-sciences-drug-discovery-research/" 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href="https://alertai.com/llm-genai-model-vulnerabilities-risks/">Breaking down Vulnerabilities in Generative AI Applications and Strategies for Risks</a></h6><p>  Generative AI Vulnerability Database An Gen...</p></div></li><li><div class="wbc-recent-post-img"> <div class="wbc-image-wrap"> <a href="https://alertai.com/layers-of-ai-ml-and-generative-ai-stack/"><img width="150" height="150" src="https://alertai.com/wp-content/uploads/2024/08/iStock-golden-VR-150x150.jpg" class="attachment-thumbnail size-thumbnail wp-post-image" alt="Adversarial Machine learning, LLM Threats" /> </a> <a class="item-link-overlay" href="https://alertai.com/layers-of-ai-ml-and-generative-ai-stack/"></a> <div class="wbc-extra-links"> <a href="https://alertai.com/layers-of-ai-ml-and-generative-ai-stack/" class="wbc-go-link"><i class="fa fa-link"></i></a> </div> </div></div><div class="widget-content"><h6><a href="https://alertai.com/layers-of-ai-ml-and-generative-ai-stack/">Layers of AI/ML and Generative AI stack</a></h6><p>Layers in AI/ML and Generative AI Environments &nb...</p></div></li></ul></div><div class="widget widget_text"><h4 class="widget-title">Enhance, Optimize, Manage</h4> <div class="textwidget"><p><strong>Alert AI</strong> is interoperable, end-to-end security platform for Generative AI applications and workflows in Pharma, Insurance, Banking & Financial services, Retail, Healthcare, Life Sciences, Energy, Manufacturing, Government.</p> <p>Enhance, Optimize, Manage security of Generative AI application and workflows with Alert AI security integration and domain-specific security guardrails.</p> <p>With over 100+ integrations and thousands of detections, easy to deploy and manage services seamlessly integrates AI applications and workflows provide 360 degrees Visibility, Vulnerability management, Adversarial threat detection, Privacy, Trust, Integrity in AI applications in Business.</p> </div> </div><div class="widget widget_text"><h4 class="widget-title">360 Alert AI</h4> <div class="textwidget"><p>Culture of 360 : Embracing Change</p> <p>In the shifting Paradigm of Business heralded by rise of Generative AI ..<br /> 360 is culture that emphasizes security in the time of great transformation.<br /> Our commitment to Our customers is represented by Our culture of 360.</p> </div> </div><div class="widget widget_block"><script>(function() { window.mc4wp = window.mc4wp || { listeners: [], forms: { on: function(evt, cb) { window.mc4wp.listeners.push( { event : evt, callback: cb } ); } } } })(); </script><form id="mc4wp-form-1" class="mc4wp-form mc4wp-form-1998" method="post" data-id="1998" data-name="AlertAI-MC4WP-Form" ><div class="mc4wp-form-fields"><p> <label>Sign up our Newsletter: <input type="email" name="EMAIL" placeholder="Your email address" required /> </label> </p> <p> <input type="submit" value="Sign up " /> </p></div><label style="display: none !important;">Leave this field empty if you're human: <input type="text" name="_mc4wp_honeypot" 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class="vc_row wpb_row full-width-section"><div class="container"><div class="row row-inner"> <div class="wpb_column vc_column_container vc_col-sm-12 "><div class="vc_column-inner " > <div class="wpb_wrapper"> <div class="wpb_text_column wpb_content_element " > <div class="wpb_wrapper"> <h3><span style="font-size: 18pt; color: #333333;"><b>Alert AI</b></span></h3> <p><span style="font-size: 18pt; color: #333333;">Alert AI is end-to-end, Interoperable Generative AI security platform to help enhance security of Generative AI applications and workflows against potential adversaries, model vulnerabilities, privacy, copyright and legal exposures, sensitive information leaks, Intelligence and data exfiltration, infiltration at training and inference, integrity attacks in AI applications, anomalies detection and enhanced visibility in AI pipelines. forensics, audit,AI governance in AI footprint.</span></p> <h2><span style="font-size: 18pt; color: #333333;"><b>Alert AI</b> Generative AI security platform</span></h2> <p><span style="font-size: 18pt; color: #333333;">What is at stake AI & Gen AI in Business? We are addressing exactly that.</span></p> <p><span style="font-size: 18pt; color: #333333;">Generative AI security solution for Healthcare, Insurance, Retail, Banking, Finance, Life Sciences, Manufacturing.</span></p> <p><span style="font-size: 18pt; color: #333333;">Despite the Security challenges, the promise of Generative AI is enormous.</span></p> <p><span style="font-size: 18pt; color: #333333;">We are committed to enhance the security of Generative AI applications and workflows in industries and enterprises to reap the benefits .</span></p> <h3><span style="font-size: 18pt; color: #333333;"><strong>Alert AI Generative AI Security Services</strong></span></h3> <p> </p> <p> </p> <p> </p> <p><span style="font-size: 18pt; color: #333333;"><img loading="lazy" decoding="async" class="alignnone wp-image-1812 size-full" src="https://alertai.com/wp-content/uploads/2024/08/genai-risks-alertai.jpg" alt="ALERT AI Generative AI Security platform, AI Privacy, LLM Vulnerabilities, Adversarial Risks, GenAI security, ALERT AI " width="708" height="1277" srcset="https://alertai.com/wp-content/uploads/2024/08/genai-risks-alertai.jpg 708w, https://alertai.com/wp-content/uploads/2024/08/genai-risks-alertai-166x300.jpg 166w, https://alertai.com/wp-content/uploads/2024/08/genai-risks-alertai-568x1024.jpg 568w, https://alertai.com/wp-content/uploads/2024/08/genai-risks-alertai-320x577.jpg 320w, https://alertai.com/wp-content/uploads/2024/08/genai-risks-alertai-480x866.jpg 480w" sizes="(max-width: 708px) 100vw, 708px" /></span></p> <p> </p> <h3><span style="font-size: 18pt; color: #333333;"><b>Alert AI 360 view and Detections</b></span></h3> <ul> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Alerts and Threat detection in AI footprint</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">LLM & Model Vulnerabilities Alerts</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Adversarial ML Alerts</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Prompt, response security and Usage Alerts</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Sensitive content detection Alerts</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Privacy, Copyright and Legal Alerts</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">AI application Integrity Threats Detection</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Training, Evaluation, Inference Alerts</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">AI visibility, Tracking & Lineage Analysis Alerts</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Pipeline analytics Alerts</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Feedback loop</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">AI Forensics</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Compliance Reports</span></li> </ul> <p> </p> <h3><span style="font-size: 18pt; color: #333333;">End-to-End GenAI Security</span></h3> <ul> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Data alerts</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Model alerts</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Pipeline alerts</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Evaluation alerts</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Training alerts</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Inference alerts</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Model Vulnerabilities</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Llm vulnerabilities</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Privacy</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Threats</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Resources</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Environments</span></li> <li aria-level="1"><span style="font-size: 18pt; color: #333333;">Governance and compliance</span></li> </ul> <p> </p> <h3><span style="font-size: 18pt; color: #333333;"><strong>Enhace, Optimize, Manage Generative AI security of Business applications</strong></span></h3> <ul> <li><span style="font-size: 18pt; color: #333333;">Manage LLM, Model, Pipeline, Prompt Vulnerabilities</span></li> <li><span style="font-size: 18pt; color: #333333;">Enhance Privacy</span></li> <li><span style="font-size: 18pt; color: #333333;">Ensure integrity</span></li> <li><span style="font-size: 18pt; color: #333333;">Optimize domain-specific security guardrails</span></li> <li><span style="font-size: 18pt; color: #333333;">Discover Rogue pipelines, models, Rogue prompts</span></li> <li><span style="font-size: 18pt; color: #333333;">Block Hallucination and Misinformation attack</span></li> <li><span style="font-size: 18pt; color: #333333;">Block prompts harmful Content Generation</span></li> <li><span style="font-size: 18pt; color: #333333;">Block Prompt Injection</span></li> <li><span style="font-size: 18pt; color: #333333;">Detect robustness risks, perturbation attacks</span></li> <li><span style="font-size: 18pt; color: #333333;">Detect output re-formatting attacks</span></li> <li><span style="font-size: 18pt; color: #333333;">Stop information disclosure attacks</span></li> <li><span style="font-size: 18pt; color: #333333;">Track to source of origin training Data</span></li> <li><span style="font-size: 18pt; color: #333333;">Detect Anomalous behaviors</span></li> <li><span style="font-size: 18pt; color: #333333;">Zero-trust LLM’s</span></li> <li><span style="font-size: 18pt; color: #333333;">Data protect GenAI applications</span></li> <li><span style="font-size: 18pt; color: #333333;">Secure access to tokenizers</span></li> <li><span style="font-size: 18pt; color: #333333;">Prompt Intelligence Loss prevention</span></li> <li><span style="font-size: 18pt; color: #333333;">Enable domain-specific policies, guardrails</span></li> <li><span style="font-size: 18pt; color: #333333;">Get Recommendations</span></li> <li><span style="font-size: 18pt; color: #333333;">Review issues</span></li> <li><span style="font-size: 18pt; color: #333333;">Forward AI incidents to SIEM</span></li> <li><span style="font-size: 18pt; color: #333333;">Audit reports — AI Forensics</span></li> <li><span style="font-size: 18pt; color: #333333;">Findings, Sources, Posture Management.</span></li> <li><span style="font-size: 18pt; color: #333333;">Detect and Block Data leakage breaches</span></li> <li><span style="font-size: 18pt; color: #333333;">Secure access with Managed identities</span></li> </ul> <p> </p> <h3><span style="font-size: 18pt; color: #333333;">Security Culture of 360 | Embracing Change.</span></h3> <h3></h3> <p><span style="font-size: 18pt; color: #333333;">In the shifting paradigm of Business heralded by rise of Generative AI ..</span></p> <p><span style="font-size: 18pt; color: #333333;">360 is culture that emphasizes security in the time of great transformation.</span></p> <p><span style="font-size: 18pt; color: #333333;">Our commitment to our customers is represented by our culture of 360.</span></p> <p><span style="font-size: 18pt; color: #333333;">Organizations need to responsibly assess and enhance the security of their AI environments development, staging, production for Generative AI applications and Workflows in Business.</span></p> <p><span style="font-size: 18pt; color: #333333;">Despite the Security challenges, the promise of Generative AI is enormous.</span></p> <p><span style="font-size: 18pt; color: #333333;">We are committed to enhance the security of Generative AI applications and workflows in industries and enterprises to reap the benefits.</span></p> <p><span style="font-size: 18pt; color: #333333;"><a style="color: #333333;" href="https://alertai.com/llm-generative-ai-security">Home</a> <a style="color: #333333;" href="https://alertai.com/llm-security-generative-ai-security-model-vulnerabilities-privacy-trust-threats/">Services</a> <a style="color: #333333;" href="https://alertai.com/llm-security-generative-ai-security-vulnerabilities-privacy-model-risks">Resources</a> <a style="color: #333333;" href="https://alertai.com/#industries">Industries</a></span></p> </div> </div> </div> </div> </div> </div></div></div> </div><div class="wpb-content-wrapper"><div class="lnkdn_buttons"><div class="lnkdn-share-button"> <script type="IN/Share" data-url="https://alertai.com/wbc-reuseables/customer-testimonials/" data-counter=""></script> </div><div class="lnkdn-follow-button"> <script type="IN/FollowCompany" data-id="104405749" data-counter="right"></script> </div></div><div id="wbc-67415bd654756" class="vc_row wpb_row full-width-section" style="background-color:#ffffff;padding-top: 100px;padding-bottom: 100px;"> <div class="wpb_column vc_column_container vc_col-sm-12 "><div class="vc_column-inner " style="padding-top: 30px;"> <div class="wpb_wrapper"> <div class="wbc-heading clearfix"><h4 class="special-heading-3" style="font-size:25px;color:#000000;text-align:center;margin-bottom:0px;">READ FROM INDUSTRY</h4></div><div class="wbc-heading clearfix"><h3 class="special-heading-3" style="font-size:40px;color:#000000;text-align:center;margin-bottom:0px;">OUR <span class="wbc-color" style="color:#ff6632;">TESTIMONIALS</span></h3></div><hr class="wbc-hr" style="background-color:#ff6632;width:85px;height:5px;" /><div class="wbc-heading clearfix"><div class="default-heading" style="font-size:20px;text-align:center;margin-bottom:45px;margin-right:auto;margin-left:auto;max-width:750px;">According our Customers, <span class="wbc-color" >We make difference</span></div></div><div class="vc_row wpb_row vc_inner vc_row-fluid"><div class="wpb_column vc_column_container vc_col-sm-8 vc_col-sm-offset-2"><div class="vc_column-inner"><div class="wpb_wrapper"><div class="wbc-color-box clearfix" style="background-color:rgba(255,255,255,0.03);color:#000000;padding-bottom:40px;padding-right:60px;padding-top:60px;padding-left:60px;"><div class="wbc-color-box-content"><div class="wbc-testimonial-wrap"><div class="wbc-testimonail-carousel" data-item-height="variable" data-item-speed="7000" ><div><div class="wbc-testimonial"><span class="testimonial-message">``Alert AI is <span class="wbc-color" >end to end</span> Gen AI security solution. Our clients want a consolidate platform for security of all AI applications in all environments. Easy on-boarding even into a private region of cloud. Easy integration.``</span><img loading="lazy" decoding="async" width="150" height="150" src="https://alertai.com/wp-content/uploads/2024/08/Nat-Profile-Pic-150x150.jpg" class="attachment-thumbnail size-thumbnail" alt="Nat-Profile-Pic" srcset="https://alertai.com/wp-content/uploads/2024/08/Nat-Profile-Pic-150x150.jpg 150w, https://alertai.com/wp-content/uploads/2024/08/Nat-Profile-Pic-500x500.jpg 500w" sizes="(max-width: 150px) 100vw, 150px" /><div class="testimonial-info"><div class="testimonial-name">Natarajan Ramanathan</div><small>Enterprise Gen AI security solutions architect | Retail, Pharma, Insurance Industries</small></div></div></div><div><div class="wbc-testimonial"><span class="testimonial-message">``Working with Alert AI has been an absolute pleasure. Their team of skilled professionals is not only knowledgeable in AI and <span class="wbc-color" >LLM security</span> but also dedicated to providing <span class="wbc-color" >top-notch POC and solution architecture</span>. They took the time to <span class="wbc-color" >integrations with our stack</span> and security solution exceeded our expectations.”</span><img loading="lazy" decoding="async" width="128" height="128" src="https://alertai.com/wp-content/uploads/2024/08/nothondo.jpg" class="attachment-thumbnail size-thumbnail" alt="nothondo" /><div class="testimonial-info"><div class="testimonial-name">Nothando Ndlovu</div><small>Cloud Solutions Enginer, |Dev Sec Ops|</small></div></div></div><div><div class="wbc-testimonial"><span class="testimonial-message">``Alert AI has been a game-changer in securing GenAI workflows and large language models. Their expertise in AI security and detections <span class="wbc-color" >ensures our LLMs are protected against emerging threats</span>, providing us with <span class="wbc-color" >peace of mind</span>. The innovative solutions and proactive approach from Alert AI have significantly strengthened our AI infrastructure, making them an invaluable partner in our journey ahead safe and <span class="wbc-color" >secure AI deployment</span>.``</span><img loading="lazy" decoding="async" width="150" height="150" src="https://alertai.com/wp-content/uploads/2024/08/Anjali-150x150.png" class="attachment-thumbnail size-thumbnail" alt="Anjali" /><div class="testimonial-info"><div class="testimonial-name">Anjali Krishna Gopi</div><small>Senior Enterprise AI architect, Genpact</small></div></div></div><div><div class="wbc-testimonial"><span class="testimonial-message">``AI threats are the threats of a multi-fronts.``</span><img loading="lazy" decoding="async" width="150" height="150" src="https://alertai.com/wp-content/uploads/2024/08/cropped-orange-black-removebg-preview-150x150.png" class="attachment-thumbnail size-thumbnail" alt="cropped-orange-black-removebg-preview.png" srcset="https://alertai.com/wp-content/uploads/2024/08/cropped-orange-black-removebg-preview-150x150.png 150w, https://alertai.com/wp-content/uploads/2024/08/cropped-orange-black-removebg-preview-300x300.png 300w, https://alertai.com/wp-content/uploads/2024/08/cropped-orange-black-removebg-preview-500x500.png 500w, https://alertai.com/wp-content/uploads/2024/08/cropped-orange-black-removebg-preview-320x320.png 320w, https://alertai.com/wp-content/uploads/2024/08/cropped-orange-black-removebg-preview-480x480.png 480w, https://alertai.com/wp-content/uploads/2024/08/cropped-orange-black-removebg-preview-270x270.png 270w, https://alertai.com/wp-content/uploads/2024/08/cropped-orange-black-removebg-preview-192x192.png 192w, https://alertai.com/wp-content/uploads/2024/08/cropped-orange-black-removebg-preview-180x180.png 180w, https://alertai.com/wp-content/uploads/2024/08/cropped-orange-black-removebg-preview-32x32.png 32w, https://alertai.com/wp-content/uploads/2024/08/cropped-orange-black-removebg-preview.png 512w" sizes="(max-width: 150px) 100vw, 150px" /><div class="testimonial-info"><div class="testimonial-name">Srini Mommileti <span class="wbc-color" >CEO, Alert AI</span></div><small>Ex Palo Altow Networks, Ex Gigamon</small></div></div></div><div><div class="wbc-testimonial"><span class="testimonial-message">“Security is our top concern and is our top priority. We are looking for tools for our AI workloads. Alert AI has everything <span class="wbc-color" >Risk analysis, Threats, Vulnerabilities, Compliance, Assets and Data Protection</span>. Having managed service with support that runs in our cloud is wonderful.``</span><img loading="lazy" decoding="async" width="150" height="150" src="https://alertai.com/wp-content/uploads/2015/04/taxi-portfolio-six-1-e1723141055245-150x150.jpg" class="attachment-thumbnail size-thumbnail" alt="taxi-portfolio-six" srcset="https://alertai.com/wp-content/uploads/2015/04/taxi-portfolio-six-1-e1723141055245-150x150.jpg 150w, https://alertai.com/wp-content/uploads/2015/04/taxi-portfolio-six-1-e1723141055245-300x300.jpg 300w, https://alertai.com/wp-content/uploads/2015/04/taxi-portfolio-six-1-e1723141055245-320x320.jpg 320w, https://alertai.com/wp-content/uploads/2015/04/taxi-portfolio-six-1-e1723141055245-480x480.jpg 480w, https://alertai.com/wp-content/uploads/2015/04/taxi-portfolio-six-1-e1723141055245.jpg 500w" sizes="(max-width: 150px) 100vw, 150px" /><div class="testimonial-info"><div class="testimonial-name">Senior Director <span class="wbc-color" >Security Operations</span></div><small>Leading Pharma client</small></div></div></div><div><div class="wbc-testimonial"><span class="testimonial-message">``Our team consists of security engineers, AI researchers. The moment we saw our hospital systems attacked by bad actors and forced to close, we quit our jobs to start Alert AI. We seek to work with exceptional people who make impact protect customers``</span><img loading="lazy" decoding="async" width="150" height="150" src="https://alertai.com/wp-content/uploads/2024/08/orange-black-removebg-preview-150x150.png" class="attachment-thumbnail size-thumbnail" alt="orange-black-removebg-preview" srcset="https://alertai.com/wp-content/uploads/2024/08/orange-black-removebg-preview-150x150.png 150w, https://alertai.com/wp-content/uploads/2024/08/orange-black-removebg-preview-300x300.png 300w, https://alertai.com/wp-content/uploads/2024/08/orange-black-removebg-preview-320x320.png 320w, https://alertai.com/wp-content/uploads/2024/08/orange-black-removebg-preview-480x480.png 480w, https://alertai.com/wp-content/uploads/2024/08/orange-black-removebg-preview.png 500w" sizes="(max-width: 150px) 100vw, 150px" /><div class="testimonial-info"><div class="testimonial-name">Srini Mommileti <span class="wbc-color" >CEO, Alert AI</span></div><small>Ex Palo Alto Networks, Ex Gigamon</small></div></div></div><div><div class="wbc-testimonial"><span class="testimonial-message">``Game Changers...``</span><img loading="lazy" decoding="async" width="150" height="150" src="https://alertai.com/wp-content/uploads/2015/12/taxi-blog-slide-two-1-150x150.jpg" class="attachment-thumbnail size-thumbnail" alt="taxi-blog-slide-two" srcset="https://alertai.com/wp-content/uploads/2015/12/taxi-blog-slide-two-1-150x150.jpg 150w, https://alertai.com/wp-content/uploads/2015/12/taxi-blog-slide-two-1-500x500.jpg 500w, https://alertai.com/wp-content/uploads/2015/12/taxi-blog-slide-two-1-1000x1000.jpg 1000w" sizes="(max-width: 150px) 100vw, 150px" /><div class="testimonial-info"><div class="testimonial-name">Security Engineer</div><small>Retail Industry</small></div></div></div><div><div class="wbc-testimonial"><span class="testimonial-message">``AI attacks would lead to major Enterprise fallout if you are complacent and don't act``</span><img loading="lazy" decoding="async" width="150" height="150" src="https://alertai.com/wp-content/uploads/2024/06/GOLD-TEXT-1.2-150x150.png" class="attachment-thumbnail size-thumbnail" alt="GOLD TEXT 1.2" srcset="https://alertai.com/wp-content/uploads/2024/06/GOLD-TEXT-1.2-150x150.png 150w, https://alertai.com/wp-content/uploads/2024/06/GOLD-TEXT-1.2-300x300.png 300w, https://alertai.com/wp-content/uploads/2024/06/GOLD-TEXT-1.2-1024x1024.png 1024w, https://alertai.com/wp-content/uploads/2024/06/GOLD-TEXT-1.2-768x768.png 768w, https://alertai.com/wp-content/uploads/2024/06/GOLD-TEXT-1.2-1536x1536.png 1536w, https://alertai.com/wp-content/uploads/2024/06/GOLD-TEXT-1.2-500x500.png 500w, https://alertai.com/wp-content/uploads/2024/06/GOLD-TEXT-1.2-1000x1000.png 1000w, https://alertai.com/wp-content/uploads/2024/06/GOLD-TEXT-1.2-1140x1139.png 1140w, https://alertai.com/wp-content/uploads/2024/06/GOLD-TEXT-1.2-848x848.png 848w, https://alertai.com/wp-content/uploads/2024/06/GOLD-TEXT-1.2-320x320.png 320w, https://alertai.com/wp-content/uploads/2024/06/GOLD-TEXT-1.2-480x480.png 480w, https://alertai.com/wp-content/uploads/2024/06/GOLD-TEXT-1.2-800x800.png 800w, https://alertai.com/wp-content/uploads/2024/06/GOLD-TEXT-1.2.png 2001w" sizes="(max-width: 150px) 100vw, 150px" /><div class="testimonial-info"><div class="testimonial-name">Srini Mommileti <span class="wbc-color" >CEO ,Alert AI</span></div><small>Ex Palo Alto Networks,Ex Gigamon</small></div></div></div><div><div class="wbc-testimonial"><span class="testimonial-message">“Bad actors wouldn't tell how or when they might strike.”</span><img loading="lazy" decoding="async" width="150" height="150" src="https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-2-WHITE-BACKGROUND-150x150.png" class="attachment-thumbnail size-thumbnail" alt="ALERT AI 2 WHITE BACKGROUND" srcset="https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-2-WHITE-BACKGROUND-150x150.png 150w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-2-WHITE-BACKGROUND-300x300.png 300w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-2-WHITE-BACKGROUND-1024x1024.png 1024w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-2-WHITE-BACKGROUND-768x768.png 768w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-2-WHITE-BACKGROUND-1536x1536.png 1536w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-2-WHITE-BACKGROUND-500x500.png 500w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-2-WHITE-BACKGROUND-1000x1000.png 1000w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-2-WHITE-BACKGROUND-1140x1140.png 1140w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-2-WHITE-BACKGROUND-848x848.png 848w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-2-WHITE-BACKGROUND-320x320.png 320w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-2-WHITE-BACKGROUND-480x480.png 480w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-2-WHITE-BACKGROUND-800x800.png 800w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-2-WHITE-BACKGROUND.png 2001w" sizes="(max-width: 150px) 100vw, 150px" /><div class="testimonial-info"><div class="testimonial-name">Srini Mommileti <span class="wbc-color" >CEO ,Alert AI</span></div><small>Ex Palo Alto Networks, Ex Gigamon</small></div></div></div><div><div class="wbc-testimonial"><span class="testimonial-message">“We are in a world growing increasingly more dangerous..<br /> Threat actors strike and steal intelligence, seize and derail operations..``</span><img loading="lazy" decoding="async" width="150" height="150" src="https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-3-WHITE-BACKGROUND-150x150.png" class="attachment-thumbnail size-thumbnail" alt="ALERT AI 3 WHITE BACKGROUND" srcset="https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-3-WHITE-BACKGROUND-150x150.png 150w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-3-WHITE-BACKGROUND-300x300.png 300w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-3-WHITE-BACKGROUND-1024x1024.png 1024w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-3-WHITE-BACKGROUND-768x768.png 768w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-3-WHITE-BACKGROUND-1536x1536.png 1536w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-3-WHITE-BACKGROUND-500x500.png 500w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-3-WHITE-BACKGROUND-1000x1000.png 1000w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-3-WHITE-BACKGROUND-1140x1140.png 1140w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-3-WHITE-BACKGROUND-848x848.png 848w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-3-WHITE-BACKGROUND-320x320.png 320w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-3-WHITE-BACKGROUND-480x480.png 480w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-3-WHITE-BACKGROUND-800x800.png 800w, https://alertai.com/wp-content/uploads/2024/06/ALERT-AI-3-WHITE-BACKGROUND.png 2001w" sizes="(max-width: 150px) 100vw, 150px" /><div class="testimonial-info"><div class="testimonial-name">Srini Mommileti <span class="wbc-color" >CEO ,Alert AI</span></div><small>Ex Palo Alto Networks,Ex Gigamon</small></div></div></div></div><div class="wbc-testimonial-nav"><a href="#" class="wbc-arrow-buttons carousel-prev button btn-primary"><i class="fa fa-angle-left"></i></a><a href="#" class="wbc-arrow-buttons carousel-next button btn-primary"><i class="fa fa-angle-right"></i></a></div></div></div></div></div></div></div></div> </div> </div> </div> </div><div id="wbc-67415bd659fb7" class="vc_row wpb_row full-width-section" style="padding-top: 60px;padding-bottom: 60px;"><span class="anchor-link" id="contact"></span><div class="container"><div class="row row-inner"> <div class="wpb_column vc_column_container vc_col-sm-12 "><div class="vc_column-inner " > <div class="wpb_wrapper"> <div class="wbc-heading clearfix"><h4 class="special-heading-3" style="font-size:25px;text-align:center;margin-bottom:0px;">SEND US A MESSAGE</h4></div><div class="wbc-heading clearfix"><h3 class="special-heading-3" style="font-size:40px;text-align:center;margin-bottom:0px;"><span class="wbc-color" >CONTACT</span> US</h3></div><hr class="wbc-hr" style="background-color:#ff6632;width:85px;height:5px;" /><div class="wbc-heading clearfix"><div class="default-heading" style="font-size:20px;text-align:center;margin-bottom:37px;margin-right:auto;margin-left:auto;max-width:750px;">We are seeking to work with exceptional people who adopt, drive change. 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Energy, Manufacturing, Government.</p> <p>With over 100+ integrations, thousands of detections, easy to deploy and manage services Alert AI seamlessly integrates to provide 360 degrees Visibility, Vulnerability management, Adversarial threat detection , Privacy, Integrity, Trust, AI risks in Business.</p> <p>Enhance, Optimize, Manage security of Generative AI applications with Alert AI domain-specific security guardrails.</p> </div> </div><div class="widget widget_block"><div class="lnkdn_buttons"><div class="lnkdn-share-button"> <script type="IN/Share" data-url="https://alertai.com/integration-of-llm-evaluation-with-pipelines-and-security-context/" data-counter=""></script> </div><div class="lnkdn-follow-button"> <script type="IN/FollowCompany" data-id="104405749" data-counter="right"></script> </div></div></div> </div> <div class="col-sm-6 col-lg-3"> <div class="widget wbc-recent-post-widget"><h4 class="widget-title">Top concerns | AI security</h4><ul class="wbc-recent-post-list"><li><div class="wbc-recent-post-img"> <div class="wbc-image-wrap"> <a href="https://alertai.com/generative-ai-security-llm-security-services/"><img width="150" height="150" src="https://alertai.com/wp-content/uploads/2024/08/iStock-security-pillars-150x150.jpg" class="attachment-thumbnail size-thumbnail wp-post-image" alt="Generative AI security platform to help enhance security of Generative AI applications and workflows against potential adversaries, model vulnerabilities, privacy, copyright and legal exposures, sensitive information leaks, Intelligence and data exfiltration, infiltration at training and inference, integrity attacks in AI applications, anomalies detection and enhanced visibility in AI pipelines. forensics, audit,AI governance in AI footprint." /> </a> <a class="item-link-overlay" href="https://alertai.com/generative-ai-security-llm-security-services/"></a> <div class="wbc-extra-links"> <a href="https://alertai.com/generative-ai-security-llm-security-services/" class="wbc-go-link"><i class="fa fa-link"></i></a> </div> </div></div><div class="widget-content"><h6><a href="https://alertai.com/generative-ai-security-llm-security-services/">Alert AI – Gen AI security platform and services</a></h6><p> Alert AI platform Services AI Vis...</p></div></li><li><div class="wbc-recent-post-img"> <div class="wbc-image-wrap"> <a href="https://alertai.com/gen-ai-llm-security-insights-metrics-leading-generative-ai-platforms/"><img width="150" height="150" src="https://alertai.com/wp-content/uploads/2024/08/iStock-bright-orange-150x150.jpg" class="attachment-thumbnail size-thumbnail wp-post-image" alt="LLM vulnerabilities Model vulnerabilities" /> </a> <a class="item-link-overlay" href="https://alertai.com/gen-ai-llm-security-insights-metrics-leading-generative-ai-platforms/"></a> <div class="wbc-extra-links"> <a href="https://alertai.com/gen-ai-llm-security-insights-metrics-leading-generative-ai-platforms/" class="wbc-go-link"><i class="fa fa-link"></i></a> </div> </div></div><div class="widget-content"><h6><a href="https://alertai.com/gen-ai-llm-security-insights-metrics-leading-generative-ai-platforms/">GenAI Security Integration Platform as Service</a></h6><p>Effective Enterprise Architecture (EA) for Generat...</p></div></li><li><div class="wbc-recent-post-img"> <div class="wbc-image-wrap"> <a href="https://alertai.com/llm-genai-model-vulnerabilities-risks/"><img width="150" height="150" src="https://alertai.com/wp-content/uploads/2024/08/iStock-golden-prompt-token-security-150x150.jpg" class="attachment-thumbnail size-thumbnail wp-post-image" alt="llm integrity model integrity reliability trustworthiness" /> </a> <a class="item-link-overlay" href="https://alertai.com/llm-genai-model-vulnerabilities-risks/"></a> <div class="wbc-extra-links"> <a href="https://alertai.com/llm-genai-model-vulnerabilities-risks/" class="wbc-go-link"><i class="fa fa-link"></i></a> </div> </div></div><div class="widget-content"><h6><a href="https://alertai.com/llm-genai-model-vulnerabilities-risks/">Breaking down Vulnerabilities in Generative AI Applications and Strategies for Risks</a></h6><p>  Generative AI Vulnerability Database An Gen...</p></div></li><li><div class="wbc-recent-post-img"> <div class="wbc-image-wrap"> <a href="https://alertai.com/layers-of-ai-ml-and-generative-ai-stack/"><img width="150" height="150" src="https://alertai.com/wp-content/uploads/2024/08/iStock-golden-VR-150x150.jpg" class="attachment-thumbnail size-thumbnail wp-post-image" alt="Adversarial Machine learning, LLM Threats" /> </a> <a class="item-link-overlay" href="https://alertai.com/layers-of-ai-ml-and-generative-ai-stack/"></a> <div class="wbc-extra-links"> <a href="https://alertai.com/layers-of-ai-ml-and-generative-ai-stack/" class="wbc-go-link"><i class="fa 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The Evolving Business Mod...</p></div></li><li><div class="wbc-recent-post-img"> <div class="wbc-image-wrap"> <a href="https://alertai.com/generative-ai-security-llm-security-models-risks/security-generative-ai-llms-life-sciences-drug-discovery-research/"><img width="150" height="150" src="https://alertai.com/wp-content/uploads/2024/08/iStock-network-glow-150x150.jpg" class="attachment-thumbnail size-thumbnail wp-post-image" alt="GEN AI security, Generative AI security,Security for Generative AI AI,LLM security,Model security,Prompt security,RAG security, GenAI risks,GenAI vulnerabilities, AI governance, AI privacy, AI compliance" /> </a> <a class="item-link-overlay" href="https://alertai.com/generative-ai-security-llm-security-models-risks/security-generative-ai-llms-life-sciences-drug-discovery-research/"></a> <div class="wbc-extra-links"> <a href="https://alertai.com/generative-ai-security-llm-security-models-risks/security-generative-ai-llms-life-sciences-drug-discovery-research/" 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href="https://alertai.com/generative-ai-security-llm-security-models-risks/generative-ai-llms-in-energy-oil-gas-security-risks-vunerabilites/"><img width="150" height="150" src="https://alertai.com/wp-content/uploads/2024/08/iStock-energy-industry-150x150.jpg" class="attachment-thumbnail size-thumbnail wp-post-image" alt="Generative Ai governance ai compliance ai forensics" /> </a> <a class="item-link-overlay" href="https://alertai.com/generative-ai-security-llm-security-models-risks/generative-ai-llms-in-energy-oil-gas-security-risks-vunerabilites/"></a> <div class="wbc-extra-links"> <a href="https://alertai.com/generative-ai-security-llm-security-models-risks/generative-ai-llms-in-energy-oil-gas-security-risks-vunerabilites/" class="wbc-go-link"><i class="fa fa-link"></i></a> </div> </div></div><div class="widget-content"><h6><a href="https://alertai.com/generative-ai-security-llm-security-models-risks/generative-ai-llms-in-energy-oil-gas-security-risks-vunerabilites/">Energy, Oil and Gas</a></h6><p>The Energy, Oil & Gas industry accounts for around...</p></div></li></ul></div> </div> <div class="col-sm-6 col-lg-3"> <div class="widget widget_text"><h4 class="widget-title">Contact Info</h4> <div class="textwidget"><p>ALERT AI</p> <p>880N and Mcarthy blvd, Milpitas, CA 95035</p> <p>Demo: demo@alertai.com</p> </div> </div><div class="widget widget_block"><script>(function() { window.mc4wp = window.mc4wp || { listeners: [], forms: { on: function(evt, cb) { window.mc4wp.listeners.push( { event : evt, callback: cb } ); } } } })(); </script><form id="mc4wp-form-2" class="mc4wp-form mc4wp-form-1998" method="post" data-id="1998" data-name="AlertAI-MC4WP-Form" ><div class="mc4wp-form-fields"><p> <label>Sign up our Newsletter: <input type="email" name="EMAIL" placeholder="Your email address" required /> </label> </p> <p> <input type="submit" value="Sign up " /> </p></div><label style="display: none !important;">Leave this field empty if you're human: <input type="text" 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