The Anatomy of a Digital Crime Scene: Uncovering Tomorrow’s AI Risks

What if you could investigate your company’s next major data or AI incident before it ever happened?

A sensitive dataset. An authorized identity. An approved application. An autonomous AI agent. Individually, each may appear perfectly legitimate. But when connected, they can create toxic combinations that expose companies to extraordinary privacy, security and AI risk.

In this immersive, true crime-inspired session, we will transform the enterprise into a digital crime scene where the crime has not happened yet. Participants will become investigators, following clues across data, identities, permissions, applications and AI agents to uncover dangerous relationships hiding in plain sight.

As agentic AI introduces autonomous actors capable of accessing information, making decisions and executing actions, we will explore why traditional inventories, siloed assessments and periodic compliance reviews are no longer sufficient.

Through an interactive investigation, participants will discover how contextual intelligence, relationship mapping, continuous monitoring and intelligent remediation can help companies identify toxic combinations, interrupt pathways to harm and evolve toward proactive, continuous governance.

What you will learn:

• Identify toxic combinations across data, identities, permissions, applications and autonomous AI agents that traditional assessments often miss.
• Understand how contextual intelligence and relationship mapping reveal emerging pathways to privacy, security and AI risk.
• Explore how continuous monitoring, dynamic controls and intelligent remediation can disrupt dangerous combinations and demonstrate effective governance.

Sponsored by Securiti AI