Security, risk and compliance in the world of AI agents

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AI agents are rapidly becoming foundational to enterprise operations. Whether triaging service tickets, automating policy enforcement, customizing user experiences or managing regulatory documentation, AI agents are no longer confined to experimental labs or innovation sandboxes. They are actively shaping how businesses deliver services, make decisions and scale operations.

These agents differ significantly from traditional bots or deterministic robotic process automation (RPA) systems. Built on large language models (LLMs), retrieval-augmented generation (RAG) and orchestration frameworks, they can reason, learn and act in ways that are context-aware, adaptive and often non-deterministic.

This transformation calls for a re-examination of how we think about risk, trust and control. As these agents interact with sensitive systems and high-stakes workflows, governance, risk and compliance (GRC) functions must evolve from static oversight to embedded, real-time governance.

  • What exactly are AI agents?
  • Why GRC must pay attention
  • Understanding the AI agent lifecycle: 4 critical stages
  • Scaling complexity: The multi-agent environment
  • Reimagining the CIA triad for agentic workflows
  • Aligning to global regulatory frameworks
  • Where GRC teams must focus

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