Obsidian expands AI agent security with runtime policy enforcement
Obsidian Security launches Runtime Policy Decision Engine for AI agent action control.
Obsidian Security has introduced its Runtime Policy Decision Engine to provide centralized control over AI agent actions before they execute. The engine leverages context about the agent's operator, its access privileges, and involved third-party applications to permit, deny, or require human approval for actions. This new capability aims to mitigate risks associated with employees using AI platforms for coding and workflow initiation, as well as risks from vendors embedding agents into their products.
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The lesson from this incident
Full lessonAs AI agents are increasingly embedded in employee workflows and vendor products, they can take consequential actions—like writing code or initiating processes—with little human oversight. The core risk is that these agents may operate with excessive privileges or act on behalf of users in ways that bypass traditional access controls. Without a policy enforcement layer that evaluates context before execution, a misconfigured or compromised agent can cause significant harm. This matters because both internally adopted AI platforms and third-party vendor-embedded agents represent expanding attack surfaces that existing identity and access management systems were not designed to govern.
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