AgentsThe story, in brief

How asset intelligence gives security teams control over AI agents

AI agents are invisible to legacy security. Here's how to map them.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As enterprises deploy autonomous agents across workflows, traditional asset intelligence breaks down. Security teams need new practices to track agent identities, access, and behavior drift — or risk uncontrolled autonomous systems in production.

The key facts

10 to know
  1. AI agents carry identities and touch multiple systems

  2. Agent behavior changes based on access granted

  3. Asset intelligence (device/identity/application mapping) is becoming critical for agent governance

  4. Published at Black Hat (security conference context)

  5. Axonius mentioned (asset management platform)

  6. AI agents carry persistent identities and modify behavior based on access grants

  7. Agents touch multiple systems, complicating traditional asset discovery

  8. Asset intelligence (device/identity/application mapping) is evolving to handle agent-specific threats

  9. Story from Black Hat 2026 (security conference context)

  10. Axonius mentioned as relevant vendor in asset management space

Go to the source

SiliconAnglesiliconangle.com

Publisher excerpt: Security teams have spent decades trying to answer a hard question: what’s actually running in our environment? AI agents have made that question harder — they carry identities, touch multiple systems and change behavior based on the access they’re given. That’s pushing asset intelligence, the…
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