Orchid Security targets AI agent risk with drift detection and kill switches
Orchid Security launched identity drift detection and application-level kill switches to govern AI agents that exploit enterprise identity debt.
Orchid Security announced AI readiness controls including agent discovery, continuous drift detection between an agent's intended purpose and observed behavior, and application-level kill switches that revoke credentials, disconnect tools, or suspend agent workflows. The company cites its Identity Gap 2026 finding that 57% of enterprise identity is unseen and unmanaged, which agents can leverage to gain elevated access in seconds to minutes. New integrations include a certified PAM integration for Palo Alto Networks Idira and identity telemetry streaming to Splunk Enterprise Security. The launch follows agentic enhancements to Orchid's Identity Control Plane in May 2026 and cites NIST's draft Cyber AI Profile and DORA as regulatory drivers.
- Drift detection compares agent runtime behavior against intended purpose and authorized scope
- Kill switches can revoke credentials, reduce permissions, disconnect tools, or suspend agent workflows
- Identity Gap 2026 found 57% of enterprise identity is unseen and unmanaged
- New integrations with Palo Alto Networks Idira PAM and Splunk Enterprise Security
- NIST draft Cyber AI Profile and DORA cited as regulatory drivers
- Organizations
- NIST
From the original article
4 min read at helpnetsecurity.comOrchid Security has announced identity drift detection and application-level kill switches for AI agents. They can complete authorized objectives beyond their initial privilege level within seconds. AI agents do not need to “break” security controls or workflow guardrails.
By Industry News · helpnetsecurity.com
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