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row_type="full_width" type="container" bg_select="bg_video" video_mute="1" video_play_inview="1" video_play_mobile="1" mp4_url="https://alertai.com/wp-content/uploads/2024/09/Alert-AI-Landing-page-video_v4b2-1080p-240812.mp4" video_offset_play="1"][vc_column content_align="text-center"][/vc_column][vc_column][/vc_column][/vc_row][vc_row row_type="full_width" type="container" bg_select="bg_color_section" bg_color="#ffffff" anchor="problem" 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" box_link="url:https%3A%2F%2Falertai.com%2Fgenerative-ai-security-llm-security-services%23ModelAnalyticsGovernance" heading_size="25"]Audits and Reports Audit trails, Feedback Loop, Recommendations, Model and Datasets versions, Model performance data, accountability and traceability Reports, Create events for security operations center (SOC) analysts, Log Forwarding Tagged AI risk events to SIEM.[/wbc_icon_box][/vc_column][/vc_row][vc_row bg_select="bg_color_section" p_top="150" p_bottom="35" border_color="#ebebeb" bg_color="#ffffff"][vc_column][wbc_heading tag="h4" heading_style="heading-3" align="center" wbc_animation="slideInDown" title="INTEGRATIONS WITH POPULAR PROVIDERS, PLATFORMS" font_size="25" m_bottom="0"][wbc_heading tag="h2" heading_style="heading-3" align="center" title="OVER 100+ |INTEGRATIONS ACROSS AI STACK|" font_size="40" m_bottom="0"][wbc_hr height="5" width="85" bg_color="#ff6632"][wbc_heading tag="div" align="center" title="Ensure domain-specific AI applications are guarded securely, across organization." font_size="25" m_bottom="43" max_width="750" m_left="auto" m_right="auto"][vc_media_grid style="load-more" items_per_page="4" element_width="3" item="masonryMedia_BorderedScale" btn_color="danger" btn_size="lg" initial_loading_animation="bounceIn" grid_id="vc_gid:1731889655302-074deb41efe60b84be69855d5370b367-7" include="1505,1501,1531,1556,1530,1518,1553,1499,1513,1503,1514,1554,1517,1506,1528,1519,1512,1524,1508,1532,1521,1498,1507,1522,1515,1516,1509,1526,1520,1510,1523,1527" css=".vc_custom_1723362115300{margin-top: 0px !important;margin-right: 40px !important;margin-bottom: 0px !important;margin-left: 40px !important;border-top-width: 10px !important;border-right-width: 40px !important;border-bottom-width: 10px !important;border-left-width: 10px !important;padding-top: 20px !important;padding-right: 10px !important;padding-bottom: 20px !important;padding-left: 20px !important;background-color: #ffffff !important;background-position: center !important;background-repeat: no-repeat !important;background-size: contain !important;border-left-color: #000000 !important;border-right-color: #000000 !important;border-top-color: #000000 !important;border-bottom-color: #000000 !important;}"][vc_empty_space][vc_empty_space][/vc_column][vc_column wbc_animation="slideInDown"][wbc_heading tag="h4" heading_style="heading-3" align="center" title="TRY OUR SOLUTION" font_size="25" m_bottom="0" p_top="80"][wbc_heading tag="h3" heading_style="heading-3" align="center" title="IN |MARKETPLACE|" font_size="40" m_bottom="0"][wbc_hr height="5" width="85" bg_color="#ff6632"][wbc_heading tag="div" align="center" title="#1 GenAI security platform of choice. 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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>OWASP Top 10 LLM Security Measures</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-119" class="clearfix post-119 post type-post status-publish format-standard has-post-thumbnail hentry category-llm-security-generative-ai-security-vulnerabilities-privacy-model-risks"> <div class="post-featured"> <div class="wbc-image-wrap"><img fetchpriority="high" width="1024" height="683" src="https://alertai.com/wp-content/uploads/2024/08/shutterstock_security_shield-1024x683.jpg" class="attachment-large size-large wp-post-image" alt="Gen AI security, Generative AI security,Security for Gen AI LLM security,Model security,Prompt security,RAG security,AI vulnerabilities, vulnerabilities in AI AI risks, GenAI risks, risks in GenAI,AI privacy, Privacy in AI,AI pipeline security GEN AI in industries,GEN AI solutions,LLM Testing, GenAI testing, Adversarial attacks,owasp risks" decoding="async" srcset="https://alertai.com/wp-content/uploads/2024/08/shutterstock_security_shield-1024x683.jpg 1024w, https://alertai.com/wp-content/uploads/2024/08/shutterstock_security_shield-300x200.jpg 300w, https://alertai.com/wp-content/uploads/2024/08/shutterstock_security_shield-768x512.jpg 768w, https://alertai.com/wp-content/uploads/2024/08/shutterstock_security_shield-1536x1024.jpg 1536w, https://alertai.com/wp-content/uploads/2024/08/shutterstock_security_shield-2048x1366.jpg 2048w, https://alertai.com/wp-content/uploads/2024/08/shutterstock_security_shield-600x400.jpg 600w, https://alertai.com/wp-content/uploads/2024/08/shutterstock_security_shield-1140x760.jpg 1140w, https://alertai.com/wp-content/uploads/2024/08/shutterstock_security_shield-848x565.jpg 848w, https://alertai.com/wp-content/uploads/2024/08/shutterstock_security_shield-320x213.jpg 320w, https://alertai.com/wp-content/uploads/2024/08/shutterstock_security_shield-480x320.jpg 480w, https://alertai.com/wp-content/uploads/2024/08/shutterstock_security_shield-800x533.jpg 800w" sizes="(max-width: 1024px) 100vw, 1024px" /> <div class="item-link-overlay"></div> <div class="wbc-extra-links"> <a data-fancybox title="GenAI security risks" href="https://alertai.com/wp-content/uploads/2024/08/shutterstock_security_shield-scaled.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">OWASP Top 10 LLM Security Measures</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 href="https://alertai.com/llm-security-generative-ai-security-vulnerabilities-privacy-model-risks/" rel="category tag">Resources</a></span> <span class="comments"><i class="fas fa-comments"></i> No Comments</span> </div> </header> <div class="entry-content clearfix"> <div class="wpb-content-wrapper"><div class="lnkdn_buttons"><div class="lnkdn-share-button"> <script type="IN/Share" data-url="https://alertai.com/owasp-top10-llm-risks-genai-model-prompt-security/" data-counter=""></script> </div><div class="lnkdn-follow-button"> <script type="IN/FollowCompany" data-id="104405749" data-counter="right"></script> </div></div><div class="vc_row wpb_row "> <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"> <p> </p> <p><b>OWASP’s Top 10 LLM risks</b></p> <p> </p> <p>Generative AI applications using LLM models, pose a new class of Risks and attack vector.</p> <p><b>OWASP’s Top 10 LLM risks<br /> </b></p> <p>OWASP is an Open Source Web Applications Security Project has formulated the standards,methodologies and documented the Top 10 LLM model threats for organizations to adopt,conceive and acquire the factors and to address the cybersecurity threats.</p> <p>The objectives when followed assures that the threats are addressed and applications can operate safely and securely.</p> <p> </p> <p>Alert AI</p> <p>Alert AI security platform provides services to enhance security of Generative AI applications and detect risks. Alert AI understands the OWASP’s Top 10 objectives as Threat intelligence on LLM Risks and the lifecycle.</p> <p>Alert AI has implemented the different services to identify, detect and map features as IOC indicators of compromise and IOA indicators of Attack through security analytics of data from metrics, logs, traces from models, pipelines, services, network, access, audit logs.</p> </div> </div> </div> </div> </div> </div><div class="vc_row wpb_row "> <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"><h3 class="default-heading" style="margin-bottom:40px;">Detections based on OWASP LLM risks</h3></div> <div class="wpb_raw_code wpb_content_element wpb_raw_html" > <div class="wpb_wrapper"> <table><thead> <tr> <th>Detections</th> <th>Category</th> <th>Description</th> <th>Severity</th> <th>Recommendations</th> </tr></thead> <tbody> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Direct injection through chat client</td> <td>Prompt Injection</td> <td>Prompt Injection vulnerability occurs when attackers craft inputs to manipulate LLMs, causing LLM to behave in the attackers desired intentions through Direct and Indirect prompt Injections</td> <td>Critical</td> <td>Enforce privilege control on backend systems.<br></td> </tr> <tr> <td>Indirect injection Webpage.</td> <td></td> <td></td> <td></td> <td>Have a user approve actions.Reduces indirect prompt injections.</td> </tr> <tr> <td>Disregarding user instructions and using LLM to override instructions.</td> <td></td> <td></td> <td></td> <td>Establish boundaries.Treat LLM as untrusted and Use an external human approval.</td> </tr> <tr> <td>User uploads resume with prompt injection.</td> <td></td> <td></td> <td></td> <td>Manual monitor LLM input and output  periodically.</td> </tr> <tr> <td>Attacker sending messages to proprietary model through system prompt overriding users instructions.</td> <td></td> <td></td> <td></td> <td>Segregate external content from user prompt.</td> </tr> <tr> <td>LLM plugins used in chatbot</td> <td>Insecured Output Handling</td> <td>Insecured Output Handling occurs when the outputs generated by LLMs have insufficient validation,sanitization and improper handling before being passed downstream to other components.</td> <td>Critical</td> <td>Treat the model as another user adopting Zero Trust approach</td> </tr> <tr> <td>Using website summarizer tools powered by LLM as prompt injections.</td> <td></td> <td></td> <td></td> <td>Follow OWASP sEcurity standards for Effective validation and sanitization</td> </tr> <tr> <td>LLM allows users to craft queries.If LLM  is not scrutinized it can delete databases.</td> <td></td> <td></td> <td></td> <td>Output encoding to back to user to mitigate code execution</td> </tr> <tr> <td>Web App using LLM to generate content  from user text prompts without output sanitization</td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Spit View poisoning Attack and Front Running poisoning</td> <td>Training data poisoning</td> <td>Training data poisoning occurs when the pre trained data is manipulated or data involved in the fine tuning or embedding process is introduced with vulnerabilities or biases to compromise model security.</td> <td>Severe</td> <td>Verify the supply chain of the training data</td> </tr> <tr> <td>Direct Injection of falsified harmful content in the training process of a model.</td> <td></td> <td></td> <td></td> <td>Verify the legitimacy of target sources from where pretrained/fine tuned data is obtained.</td> </tr> <tr> <td>An unsuspecting user is indirectly injecting sensitive data</td> <td></td> <td></td> <td></td> <td>Verify the use case of LLM for the application integrated to.</td> </tr> <tr> <td>A model using data not verified by source</td> <td></td> <td></td> <td></td> <td>Use strict vetting or filters for specific training data.</td> </tr> <tr> <td>Unrestricted infrastructure access or</td> <td></td> <td></td> <td></td> <td>Adversarial robustness techniques such as federated learning and to minimize the effect of outliers.(MLSecOps and Auto poison testing)</td> </tr> <tr> <td>Inadequate sandboxing</td> <td></td> <td></td> <td></td> <td>Testing and detection by measuring the loss.</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Posing queries leading to recurring resource usage</td> <td>Denial of Service</td> <td>Denial of Service occurs when the LLM uses a considerably high amount of resources with a decline in the grade of service to the attackers and other users potentially incurring high costs by posing queries.</td> <td>Severe</td> <td>Input validation and Sanitization</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Sending queries that are unusually resource consuming</td> <td></td> <td></td> <td></td> <td>Limit the number of queued actions</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Continuous input overflow</td> <td></td> <td></td> <td></td> <td>Cap resource use per request</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Repetitive long inputs</td> <td></td> <td></td> <td></td> <td>Enforce APi rate limits to number of requests</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Recursive context expansion</td> <td></td> <td></td> <td></td> <td>Continuously monitor the resource utilizations</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Variable length input flood</td> <td></td> <td></td> <td></td> <td>Set strict input  Limits based on LLMs context windows</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Promote awareness among developers<br>about potential DoS vulnerabilities</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Traditional third party vulnerability</td> <td>Supply ChainVulnerabilities</td> <td>Supply ChainVulnerabilities occur when the LLMs integrity is impacted in the pre trained data and or training dta,ML Models and deployment platforms leading to security breaches ,biased outcomes and system failures.</td> <td>Severe</td> <td>Carefully vet data sources and suppliers</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Using vulnerable pre trained model for fine tuning</td> <td></td> <td></td> <td></td> <td>Only use reputable plugins</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Use of poison crowd source data for training</td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Understand and apply mitigations found in OWASP</td> </tr> <tr> <td>Using outdated or deprecated models</td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Unclear T&Cs and data privacy policies</td> <td></td> <td></td> <td></td> <td>Maintain an up to date inventory of components</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Use MLOps best practises and platform offerings secure model repositories</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Use model and code signing when using</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>External models.</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Anomaly detections and external robustness tests.</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Implement sufficient monitoring to cover component and environment vulnerabilities</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Implement patching policy to mitigate vulnerable outdated components</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Regularly review and audit supplier Security and Access</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Unsuspecting legitimate user A exposed to other user data</td> <td>Sensitive Information disclosure</td> <td>Sensitive Information disclosure occurs sensitive information,proprietary algorithms are revealed through outputs generated by LLMs resulting in security breaches and privacy violations and disclosure of sensitive data and intellectual property.</td> <td>Severe</td> <td>Integrate adequate data sanitization and scrubbing techniques</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Incomplete or improper filtration of sensitive data</td> <td></td> <td></td> <td></td> <td>Input robust validation methods</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Overfitting or memorization of sensitive data</td> <td></td> <td></td> <td></td> <td>Apply the rule of least privilege so that a higher privilege user access to a model is not displayed to a low privilege user</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Unintended disclosure of sensitive information</td> <td></td> <td></td> <td></td> <td>Apply strict access control methods</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Access to external source is limited</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>A plugin accepts a single text field instead of distinct input parameters.</td> <td>Insecure Plugin Design</td> <td>Insecure Plugin Design occurs when malicious requests are sent through LLM plugins and extensions that when enabled are called by the model and uncontrolled by the application resulting in unexpected behaviors including remote code execution.</td> <td>Severe</td> <td>Plugins should enforce strict parameterized input</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>A plugin accepts configuration strings instead of parameters.</td> <td></td> <td></td> <td></td> <td>Plugin should apply OWASP recommendations in ASVS</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>A plugin accepts plain SQL statements instead of parameters.</td> <td></td> <td></td> <td></td> <td>Plugins should be inspected and trusted thoroughly.</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Improper authorization to plugin.</td> <td></td> <td></td> <td></td> <td>Plugins should use proper OAuth identities.</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Requires manual user authorization.</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Excessive Functionality-An LLM Agent access to plugin with functions not intended for this operation.</td> <td>Excessive Agency</td> <td>Excessive Agency<br>is a vulnerability enabling damaging actions to be performed in response to output generated by LLMs regardless of what is causing the LLMs to malfunction be it hallucination,confabulation, direct/indirect prompt injection.</td> <td>High</td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Trialed LLM plugin used in development phase available to the LLM agent.</td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>A LLM plugin with open ended functionality fails to filter input instructions.</td> <td></td> <td></td> <td></td> <td>Limit the plugins that LLM agents are allowed to only call minimum necessary functions.</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Avoid open ended functions and use plugins with more granularity.</td> </tr> <tr> <td>Excessive</td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Permission</td> <td></td> <td></td> <td></td> <td>Limit the plugins/tools to implement only necessary functions.</td> </tr> <tr> <td>-LLM application/plugin has access downstream with high privileges.</td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Limit the permissions that LLM plugin/tools are granted to other systems.</td> </tr> <tr> <td>-LLM Plugin has permission on other systems that are not intended for the operation of this application.</td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Track the user authorization and security scope to ensure the actions taken on behalf of the user have minimum privilege.</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Excessive</td> <td></td> <td></td> <td></td> <td>Implement authorization in downstream systems instead of relying on LLM</td> </tr> <tr> <td>Autonomy</td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>-LLM application/ plugin fails to independently verify and approve high impact actions.</td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Use human in the loop to control and approve actions</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>LLM provides inaccurate information when stating it as authoritative.</td> <td>Overreliance</td> <td>Overreliance<br>occurs when the LLM produces factually incorrect ,inappropriate or unsafe erroneous information in an authoritative manner leading to security breach ,misinformation,miscommunication,legal issues and reputational damage.</td> <td>High</td> <td>Regularly monitor and review the outputs</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Cross -check the LLM output with external sources</td> </tr> <tr> <td>LLM suggests insecure and faulty code leading to vulnerabilities</td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Enhance the model with fine-tuning and embeddings to improve output quality</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Implement automatic validation mechanisms</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Break down complex task into manageable subtask</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Communicate the risk and limitations associated with LLM to users</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Build API and user interfaces that encourage responsible and safe use of LLMs.</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>When using LLM in a development environment ensure safe coding guidelines.</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>An attacker uses the vulnerabilities in the infrastructure in the organization to gain access to the LLM model.</td> <td>Model Theft</td> <td>Model Theft occurs when the proprietary model is exfiltrated and physically stolen and or weights copied and parameters extracted to create a functional equivalent by unauthorized access to LLMs by malicious actors.</td> <td>Severe</td> <td>Implement strong access control and strong authentication mechanisms</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>An insider threat scenario where a disgruntled employee leaks information.</td> <td></td> <td></td> <td></td> <td>Use a centralized model Inventory with authentication</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Attacker queries the</td> <td></td> <td></td> <td></td> <td>Restrict LLM access to network resources, internal services and API.</td> </tr> <tr> <td>Model API to create a shadow model</td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Regularly monitor and audit access logs</td> </tr> <tr> <td>Bypassing input filtering techniques.</td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Automate MLOPs deployment with governance and tracking</td> </tr> <tr> <td>Attack vector for functional model replication via prompts as a means to self instruct to generate synthetic training data.</td> <td></td> <td></td> <td></td> <td>Implement controls and mitigation strategies</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Rate limiting of API calls where applicable</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Implement adversarial robustness training and physical security measures.</td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td></td> <td></td> <td></td> <td></td> <td>Implement a watermarking framework into embedding and detection stages of LLM lifecycle.</td> </tr> </tbody></table> </div> </div> <div class="vc_message_box vc_message_box-standard vc_message_box-rounded vc_color-white" ><div class="vc_message_box-icon"><i class="fas fa-info-circle"></i></div><p>About ALERT AI</p> <p>What is at stake AI & Gen AI in Business? We are addressing exactly that. Generative AI security solution for Healthcare , Insurance, Retail, Banking, Finance, Life Sciences, Manufacturing.</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>Despite the Security challenges, the promise of large language models is enormous.<br /> We are committed to enabling industries and enterprises to reap the benefits of large language models.</p> </div> </div> </div> </div> </div> <p></p> </div> <div class="clearfix"></div> </div> </div> </article>    </div>  </div>  <div class="col-md-3"> <div class="side-bar"> <div class="widget widget_search"> <div class="widget search-widget"> <form method="get" id="searchform" action="https://alertai.com/" role="search" class="search-form"> <input type="search" name="s" value="" id="s" placeholder="Search Site.." /> </form> </div></div><div class="widget wbc-recent-post-widget"><h4 class="widget-title">Industries | Success stories</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-models-risks/security-context-and-impact-of-generative-ai-in-retail-industry/"><img width="150" height="150" src="https://alertai.com/wp-content/uploads/2024/08/retail-pic-0827-150x150.jpg" class="attachment-thumbnail size-thumbnail wp-post-image" alt="Gen AI security, Generative AI security,Security for Gen AI LLM security,Model security,Prompt security,RAG security,AI vulnerabilities, vulnerabilities in AI AI risks, GenAI risks, risks in GenAI,AI privacy, Privacy in AI,AI pipeline security GEN AI in 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. 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class="lnkdn-follow-button"> <script type="IN/FollowCompany" data-id="104405749" data-counter="right"></script> </div></div><div class="vc_row wpb_row "> <div class="wpb_column vc_column_container vc_col-sm-12 "><div class="vc_column-inner " > <div class="wpb_wrapper"> </div> </div> </div> </div><div id="wbc-6741594bad210" 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 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-6741594bae891" 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 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-6741594bb3e44" 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. We want to know from you to understand Generative AI in business better to secure better.<br /> <span class="wbc-color" >``transformation = solutions + industry minds``</span></div></div> </div> </div> </div> <div class="wpb_column vc_column_container vc_col-sm-4 vc_col-sm-offset-0 "><div class="vc_column-inner " > <div class="wpb_wrapper"> <div class="wbc-icon-box clearfix" ><div class="wbc-icon-wrapper" ><span class="wbc-icon" style="font-size:30px;color:#ff6632;"><i class="wbc-font-icon far fa-clock"></i></span></div> <div class="wbc-box-content"><h4 style="font-size:16px;">Hours:</h4><p>Mon-Fri: 8am – 6pm</p> </div></div><div class="wbc-icon-box clearfix" ><div class="wbc-icon-wrapper" ><span class="wbc-icon" style="font-size:30px;color:#ff6632;"><i class="wbc-font-icon fas fa-mobile-alt"></i></span></div> <div class="wbc-box-content"><h4 style="font-size:16px;">Phone:</h4><p>1+(408)-364-1258</p> </div></div><div class="wbc-icon-box clearfix" ><div class="wbc-icon-wrapper" ><span 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