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Agentic AI: An Emerging Threat Vector Webinar

Solution Category Security Operations
Type Webinar
Organization Cogility
Event Format Company Webinar

Webinar Description

Key Takeaways

  • Examines how autonomous AI agents create insider risks that traditional security frameworks cannot detect
  • Introduces SOFIT-AI, an extension of the SOFIT insider-risk framework designed for LLM and agent-level risk identification
  • Demonstrates Hierarchical Complex Event Processing (HCEP) for generating auditable alerts from human and agent signals
  • Uses the OpenAI hack of Hugging Face as a case study to illustrate limitations of point-in-time monitoring
  • Aimed at CISOs, security analysts, AI governance leads, and risk managers in technology, government, defense, and critical infrastructure sectors

About the Event

This one-hour webinar addresses the security implications of agentic AI systems that have evolved beyond simple copilots into autonomous actors capable of writing code, making decisions, and calling tools independently. Dr. Frank Greitzer, Chief Scientist at Cogility Software, presents the SOFIT-AI framework and discusses practical approaches to extending insider-risk programs to cover AI agents. The session qualifies for CPE credit.

The Insider Risk Challenge with Agentic AI

As AI agents gain autonomy, they introduce risks that mirror insider threats but operate outside conventional detection methods. Traditional security and HR frameworks were designed for human actors and lack the capability to monitor AI systems that can take independent action. The webinar explores why continuous, real-time oversight is necessary rather than periodic assessments.

Technical Frameworks and Solutions

The session covers Cogynt.ai’s Agentic Security and Behavioral Enforcement solution, which applies Hierarchical Complex Event Processing (HCEP) to fuse signals from both human users and AI agents. This approach produces deterministic, auditable alerts through a real-time edge checkpoint combined with a deeper enterprise analytics layer. The SOFIT-AI framework extends established insider-risk methodology to address threats at the LLM and agent level specifically.

Who Should Attend

This webinar is designed for mid to senior-level professionals responsible for AI governance, cybersecurity operations, and insider risk management. Relevant roles include CISOs, security analysts, AI governance leads, risk managers, and IT security managers working in technology, government, defense, critical infrastructure, and large enterprise environments.