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Arkose Labs expands Agent Trust Manager to control agent sessions

Original title: Arkose Labs expands Agent Trust Manager to govern agent sessions

Help Net Securityby Industry News ()2 min read1 · 1 read
AI summary · x-ai/grok-4.7Summaries by Vani AI

New controls add per-step allow, monitor or block policies and an Agent ID that persists across networks.

Arkose Labs expanded Agent Trust Manager so businesses can classify agent sessions and apply allow, monitor or block policies at each step of a customer journey. A stable Agent ID is meant to follow an agent across network changes, new builds and multiple accounts. The company says its Q3 report found personal AI agents identify themselves less than 3% of the time. A proof-of-human confirmation for sensitive steps such as moving money is coming soon.

Unconfirmed: The claim that personal AI agents identify themselves less than 3% of the time comes from Arkose Labs’ own Q3 report.

Key facts
  • Sessions are classed as self-disclosing good, non-disclosing good, or malicious.
  • A blocked agent sees a branded message pointing to a supported path.
  • Detection auditing records classifications and what a new signal would have caught.
  • Ask Titan can answer questions about agent traffic in Command Center or via MCP.
Explain this AI news with Vani AIWhat was announced, what is new and why it matters, in a new chat

From the original article

2 min read at helpnetsecurity.com

Arkose Labs has expanded Arkose Agent Trust Manager to help businesses control agentic traffic. Companies can classify agent sessions, apply allow, monitor or block policies at each step of the customer journey, and track the same agent across multiple networks. The need is urgent given Arkose Labs’ State of Agentic AI Trust Q3 report found that personal AI agents identify themselves less than 3% of the time.

Help Net Security

By Industry News · helpnetsecurity.com

Read the full article at Help Net Security

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.