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Governance Challenges with AI Agents Exposed

Governance Challenges with AI Agents Exposed

First seen 28 Sep 2026, 18:19 UTC • •

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ThreatCluster AI
ThreatCluster •September 28, 2026 at 19:12 UTC
  • •Only 47% of CISOs can identify all AI agents in their environment.
  • •21% of organizations still use shared credentials for AI agent access.
  • •AI agents pose significant risks if not governed properly, as shown by the METR incident.

AI agents are proliferating in organizations faster than security teams can manage them, with only 47% of CISOs confident in identifying all agents. A recent Okta report highlights that many organizations still rely on outdated security controls, with 21% using shared credentials. The risk of shadow AI is significant, as these agents can access sensitive data without proper oversight. A notable incident at METR demonstrated how an attacker exploited an unmonitored AI agent, leading to a $600,000 loss. Security teams are urged to adopt a governance framework treating AI agents as first-class identities to mitigate risks. The gap between visibility and control remains a pressing issue, with many organizations lacking the tools to track AI agent activities effectively.

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Timeline

2026-09-27
Zero Trust for AI Agents discussed
Security teams need to identify and monitor AI agents before enforcing controls, as highlighted by a Veeam survey.
News.Lavx.Hu
2026-09-28
Okta's Global CISO Insights report released
The report reveals that fewer than half of CISOs are confident in controlling AI agents, emphasizing governance challenges.
thehacker.news
2026-09-28
Webinar on AI agent governance announced
A webinar hosted by Okta aims to address governance issues related to AI agents and excessive access.
Thehackernews

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