Many teams are unaware that AI agents could already be operating across developer laptops, automation pipelines, and SaaS integrations that were never submitted for approval. These Shadow Agents carry live credentials, invoke real tools, and execute multi-step workflows with no oversight trail.

To close that gap security teams must move beyond static configuration analysis and inventory lists. They need true Agent Discovery: including behavioral observation at the execution layer, permission lineage mapping, and toolchain tracing across the full agent attack surface. Only then can validation, runtime enforcement, and governance controls be applied with any confidence.

In this whitepaper you'll learn:

• Why Agent Discovery is Step Zero and not an early phase of your AI security program, and why enforcement, validation, and governance cannot function without it.
• Where Shadow Agents are already operating inside your enterprise, across laptops, SaaS tools, and automation workflows adopted outside formal governance processes.
• Why agent risk compounds faster than traditional controls catch it, and how attack success rates increase by an average of 16% and over 27% in some cases when harmful intent unfolds across multiple turns and tools.
• How Agent Discovery enables the targeted validation, real-time guardrails, and continuous monitoring required to deploy autonomous systems with confidence.

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