As AI agents proliferate across the enterprise, they’re creating a new, largely invisible layer of risk — one most asset discovery tools were never built to see. This white paper unpacks why traditional CMDBs and agent-based tools fall short, and what it takes to close the gap.
Readers will learn:
- Why AI agents must be treated as primary assets — and the unique risks they introduce (privilege hijacking, prompt injection, data exfiltration)
- A three-pillar framework for cyber asset intelligence: real-time passive discovery, automated risk assessment, and ecosystem-wide integration
The paper also cites benchmark results, including 3x more assets discovered, 99% of attacks blocked, and 351% ROI.
