About this session
The next evolution of insider risk is already underway. As organisations embrace AI, automation and machine-driven operations, the definition of an insider is expanding beyond humans to include AI agents, service accounts and autonomous systems. Traditional security models are not designed to detect these fast-moving, non-human threats, creating new blind spots across the enterprise.
This session explores how insider risk is becoming a hybrid challenge, where human and machine behaviours intersect in complex ways. We examine how behaviour analytics delivers deeper intelligence for the agentic enterprise, helping detect drift, uncover shadow AI and identify compromised machine identities before they escalate into material risk.
Speakers
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