[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fIXPpUlvJJi4j1tXuTaNEw-x07nQIYvEteaxL7fNRXGI":3},{"article":4,"iocs":53,"watch_terms":54,"solutions":55,"lesson":89},{"id":5,"title":6,"slug":7,"summary":8,"ai_summary":9,"brief":10,"url":11,"image_url":12,"published_at":13,"ingested_at":14,"relevance_score":15,"entities":16,"category_id":30,"category":31,"article_tags":35},"708b2a24-380a-450e-8f55-b01fd6adb494","Dragos Unveils AI for OT Security","dragos-unveils-ai-for-ot-security-442f18","Named EmberAI, the new capability is built on Dragos’ massive operational technology cybersecurity dataset. The post Dragos Unveils AI for OT Security appeared first on SecurityWeek.","Dragos has introduced EmberAI, a new AI capability designed specifically for operational technology (OT) cybersecurity. Built on Dragos's extensive OT cybersecurity dataset, EmberAI allows analysts to use natural language queries to gather threat and risk information, correlating data from various sources like threat intelligence, assets, and vulnerabilities. The company emphasizes that EmberAI operates within the customer's environment, ensuring data privacy, and that human oversight remains critical for all AI-generated recommendations.","Dragos launches EmberAI, an AI tool for OT cybersecurity built on its OT dataset.","https:\u002F\u002Fwww.securityweek.com\u002Fdragos-unveils-ai-for-ot-security\u002F","https:\u002F\u002Fwww.securityweek.com\u002Fwp-content\u002Fuploads\u002F2026\u002F06\u002FAI-artificial-intelligence-industrial-OT-ICS.webp","2026-06-23T17:26:07+00:00","2026-06-23T18:00:29.901586+00:00",7,[17,20,23,26,28],{"name":18,"type":19},"EmberAI","product",{"name":21,"type":22},"Dragos","vendor",{"name":24,"type":25},"AI","technology",{"name":27,"type":25},"OT cybersecurity",{"name":29,"type":22},"Accenture","02371804-cf6d-4449-98de-f1a2d4d9b266",{"id":30,"icon":32,"name":33,"slug":34},null,"Tools","tools",[36,38,43,48],{"category":37},{"id":30,"icon":32,"name":33,"slug":34},{"category":39},{"id":40,"icon":32,"name":41,"slug":42},"839da5c1-3c34-47e2-9499-f7201640e3ac","AI Security","ai-security",{"category":44},{"id":45,"icon":32,"name":46,"slug":47},"d6f63bb8-0801-486a-be7f-171400700454","IoT\u002FOT","iot-ot",{"category":49},{"id":50,"icon":32,"name":51,"slug":52},"e7b231c8-5f79-4465-8d38-1ef13aea5a14","Threat Intelligence","threat-intelligence",[],[21,29,18],{"controls":56,"vendors":85},[57],{"slug":58,"name":59,"problem":60,"products":61},"ot-security","OT and industrial control system security","Factory, building and utility control systems get visibility and protection.",[62,69,77],{"vendor_slug":63,"vendor_name":21,"vendor_logo":64,"product_slug":65,"product_name":66,"url":67,"description":68},"dragos","\u002Fvendor-logos\u002Fdragos.png","dragos-platform","Dragos Platform","https:\u002F\u002Fwww.dragos.com\u002Fcybersecurity-platform\u002F","OT asset visibility, threat detection and response guidance for industrial environments.",{"vendor_slug":70,"vendor_name":71,"vendor_logo":72,"product_slug":73,"product_name":74,"url":75,"description":76},"tenable","Tenable","\u002Fvendor-logos\u002Ftenable.png","tenable-ot-security","Tenable OT Security","https:\u002F\u002Fwww.tenable.com\u002Fproducts\u002Fot-security","Asset inventory, vulnerability and threat detection for industrial networks.",{"vendor_slug":78,"vendor_name":79,"vendor_logo":80,"product_slug":81,"product_name":82,"url":83,"description":84},"claroty","Claroty","\u002Fvendor-logos\u002Fclaroty.png","xdome","Claroty xDome","https:\u002F\u002Fclaroty.com\u002Findustrial-cybersecurity\u002Fxdome","Asset inventory, vulnerability management and threat detection for industrial networks.",[86],{"slug":63,"name":21,"logo_path":64,"roles":87},[88],"reported_by",{"slug":90,"title":91,"body":92,"framework_refs":93,"framework_notes":102},"ai-powered-ot-security-opportunity-and-oversight-imperative","AI-Powered OT Security: Opportunity and Oversight Imperative","Dragos's EmberAI highlights a growing trend of applying AI to operational technology (OT) environments, where visibility gaps and alert fatigue have historically left critical infrastructure underprotected. The introduction of natural language querying for threat and asset correlation addresses a real challenge: OT analysts often lack the tools to rapidly synthesize intelligence across disparate data sources. However, the reliance on AI-generated recommendations introduces new risks if human oversight is reduced or if the AI model is fed incomplete or manipulated data. The emphasis on keeping EmberAI within the customer's environment is a crucial data privacy safeguard, but organizations must also govern how AI outputs are validated and acted upon. As AI becomes embedded in OT security workflows, establishing clear accountability frameworks for AI-assisted decisions is essential to avoid over-reliance.",[94,95,96,97,98,99,100,101],"NIST SP 800-82 Rev. 3 (OT Security Guide)","CIS Control 13 – Network Monitoring and Defense","CIS Control 8 – Audit Log Management","NIST AI RMF (AI Risk Management Framework) – GOVERN 1.1","IEC 62443-2-1 – Security Management System for OT","NIST CSF 2.0 – DE.CM (Continuous Monitoring)","GDPR Article 22 – Automated Decision-Making and Profiling","NERC CIP-007 – Systems Security Management",{}]