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Cybersecurity Implications of AI

How Can We Secure Agentic AI, Reduce Risk and Strengthen Our Defenses?


Course

Charles Iheagwara, Payam Hojjat, Sanjit Ganguli and Vianney Chimezie discuss securing agentic AI through stronger governance, AI asset visibility, machine identity controls, behavioral detection and automated defense.

As organizations rapidly adopt generative and agentic AI, security teams face growing challenges around shadow AI, sensitive data exposure, machine identities and autonomous systems operating at machine speed. Traditional security controls built for human-driven environments must evolve to provide visibility, governance and automated defense without restricting AI's business value. This session examines how organizations can secure AI deployments, establish effective guardrails and adapt security operations to manage increasingly autonomous environments.

In this session, you will learn:

  • How to discover hidden AI assets through technical and organizational approaches;
  • How to use behavioral analysis and automated containment against adaptive threats;
  • How to apply identity, intent and context checks to agent-to-agent communications.

Here is the course outline:

How Can We Secure Agentic AI, Reduce Risk and Strengthen Our Defenses?