Quarterly access certifications provide only a point-in-time view of access, while enterprise risk changes continuously. As organizations increasingly deploy Autonomous and Intelligent Systems, managing role changes, privileged access, and behavioral anomalies grows more complex. Furthermore, the rise of Generative and Agentic AI introduces new non-human identities that can alter access risk between traditional review cycles.

This session will present a practical approach to continuous access assurance using AI for Cybersecurity, leveraging identity, security, and runtime signals to trigger targeted reassessment. We will discuss how IGA, PAM, and SIEM/XDR can work together to move from calendar-driven reviews toward a more Responsible and Trustworthy AI governance framework that is event-driven and risk-aware.

Examples for Discussion:

  – Agentic AI Governance: Implementing real-time monitoring for autonomous agents that perform automated administrative tasks.
  – Computational Intelligence in IAM: Using machine learning to detect behavioral anomalies in access patterns before they escalate into security incidents.
  – Trustworthy AI Frameworks: Integrating ethical guardrails into automated access decision-making to ensure compliance and transparency.