New Dragos AI assistant EmberAI targets the OT security skills gap
Summary
Dragos Inc. launched EmberAI on June 23, 2026, an artificial intelligence assistant designed specifically for operational technology (OT) environments. This tool aims to bridge the OT security skills gap by making Dragos's extensive threat intelligence accessible to analysts of all experience levels. EmberAI operates within the Dragos Platform, utilizing the Dragos Intelligence Fabric, which comprises over 5 petabytes of daily OT telemetry, 10 years of tracking named OT threat groups, proprietary vulnerability research, and insights from more than 600 OT protocols. It offers an intelligence-driven query engine for OT-contextual answers, a correlation layer for a real-time view of assets and threats, and features for alert triage and incident reporting. EmberAI ensures customer data remains within their environment, providing transparent and auditable recommendations while maintaining human oversight.
Key takeaway
For Directors of OT Security facing critical infrastructure attacks and staffing shortages, evaluating domain-specific AI assistants like EmberAI is crucial. This tool can augment your team by providing OT-contextual threat intelligence and automating routine tasks, allowing your analysts to prioritize high-impact threats. Ensure any AI solution you adopt keeps your data within your environment and offers transparent, auditable recommendations, maintaining human oversight for critical decisions.
Key insights
Specialized AI for OT security addresses skills gaps by contextualizing threats and streamlining analysis.
Principles
- OT security requires domain-specific AI to differentiate critical exposures from routine noise.
- AI recommendations in critical infrastructure must be transparent, auditable, and retain human final decision.
- Customer data for OT security tools should remain within the customer's controlled environment.
Method
EmberAI uses an intelligence-driven query engine and correlation layer to connect OT assets, vulnerabilities, and threat intelligence for real-time analysis and reporting.
In practice
- Query OT assets, vulnerabilities, and network activity using plain language.
- Rank identified threats based on their potential operational impact.
- Automate alert triage, incident summaries, and reporting to reduce manual effort.
Topics
- OT Security
- Industrial Control Systems
- AI Assistants
- Threat Intelligence
- Critical Infrastructure
- Cybersecurity Skills Gap
Best for: CTO, Executive, AI Security Engineer, IT Professional, Director of AI/ML
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Editorial summary, takeaway, and curation by AIssential. Original article published by AI – SiliconANGLE.