Orchid Security Delivers AI Readiness Controls for AI Agents With Application-Level Shutdowns and Drift Detection

Readiness tagging, always-on observability, and orchestrated shutdowns at the application layer give enterprises a way to expand AI agent programs while keeping authority in check.

Orchid Security, the company that unlocks safe AI adoption by solving identity at its core, today introduced identity drift detection and application-level kill switches built for AI agents. Within seconds, an agent pursuing a sanctioned goal can end up operating well above the privilege level it started with. No security control has to be defeated and no workflow guardrail has to fail for that to happen. Agents simply locate and exercise the identity debt that enterprises have already accumulated — credentials hard-coded into systems, accounts left behind by departed users, authentication routes nobody owns, and entitlements far broader than any task requires. The company’s new AI readiness controls are designed so that scaling agent adoption does not mean surrendering control.

Boards Turn AI Adoption Into an Accountability Priority

The question in the boardroom has shifted. Directors are no longer debating whether AI belongs in the business; they want to know how fast it can be scaled. Saying no has stopped functioning as a security strategy. What security leaders need instead is a plan they can defend — one that lets deployment proceed while autonomous agents stay inside the boundaries they were granted.

“AI transformation is exciting. Identity hygiene is not,” said Roy Katmor, co-founder and CEO of Orchid Security. “Boards are no longer asking whether AI will be adopted—they are asking why it is not moving faster, and security cannot answer with a blanket ‘no.’ Enterprises need to observe how agents act, understand when they drift, and govern them immediately, including terminating the authority through which they operate.”

The risk does not originate in how agents behave; it originates in what they inherit. Exceeding an intended scope requires no breach of controls, because the raw material is already sitting in the environment: embedded secrets, orphaned accounts, unmanaged authentication paths, and excessive permissions. Orchid’s Identity Gap 2026 research put a number on the exposure, finding that 57% of enterprise identity is unseen and unmanaged. An agent can convert that identity dark matter into a live route to elevated access in seconds to minutes — a pace that periodic governance reviews have no realistic chance of catching or containing.

That mismatch in tempo is the heart of the issue. Quarterly access certifications and yearly attestations were built around human workers who might change roles a handful of times across a career — not around non-human identities capable of moving through dozens of applications inside a single session. Accountability today hinges on whether an organization can answer questions about an agent’s authority within minutes, rather than waiting for the next review cycle to come around.

A Control Blueprint for Enterprise Agent Rollouts

Orchid supports continuous, auditable AI readiness and defensibility across four operational stages:

OBSERVE: Surface the AI agents in the environment along with the identities, applications, credentials, tools, and access paths they run through. Behavior is captured as it actually occurs at runtime, not merely as it was defined in the studio.
UNDERSTAND: Measure live activity against the agent’s stated purpose and sanctioned scope. Orchid attaches readiness tags to applications, accounts, and access paths, surfacing hygiene gaps, over-broad entitlements, and environments that are not yet fit for agentic access.
GOVERN: Should behavior or effective authority stray outside policy, Orchid drives the response through the identity, security, and AI infrastructure the organization already runs. That may mean trimming permissions, revoking credentials, cutting off tools, halting workflows, or triggering its distinctive application-level kill switch.
PROVE: Orchid produces a defensible record tying every agent action back to the identity used, the delegation chain, the access path, the business context, any drift detected, and the governance response that followed.

Because each stage operates through infrastructure the enterprise already owns, security teams do not have to rebuild the identity stack before standing up a first agent. Readiness tagging can start narrowly, covering only the applications a given agent will touch, and widen from there as adoption grows — making AI readiness an incremental program instead of a blocking prerequisite.

Evidence Enterprises Need to Produce

Ahead of any large-scale autonomous agent deployment, organizations should be in a position to show:

Identity Hygiene: Orphaned, dormant, local, and over-privileged accounts have all been located and given a readiness status.
Authorization Guardrails: The business can state who or what is permitted to act, on whose behalf, toward what end, and under which conditions.
Runtime Understanding: Observed agent activity is continuously checked against approved intent, granted permissions, and expected access paths.
Universal Auditability: Each action traces back to an identity, a delegation chain, an application, an access path, and a business context.
Enforceable Response: Authority behind a drifting agent can be curtailed or cut off on the spot.

Regulatory expectations are lining up behind the same points. NIST’s draft Cyber AI Profile observes that “regardless of where organizations are on their AI journey, their cybersecurity programs need risk management approaches that support and integrate the realities of advancements in AI.” Across the Atlantic, DORA requires financial entities to evidence control over ICT access and third-party dependencies — a duty that does not lapse simply because the actor in question is an agent instead of a person.

Keeping AI Agents Available When It Matters

Building on the agentic capabilities added to Orchid’s Identity Control Plane in May, the following are now generally available:

AI readiness tagging spanning applications, identities, and access paths
Hygiene and security risk findings covering orphaned, dormant, over-permissioned, and suspicious accounts
Ongoing drift detection comparing an agent’s intended purpose against what it actually does
Orchestrated response, including application-level kill switches that pare back permissions, revoke credentials, sever tool connections, or pause agent workflows
Audit generation capturing agent activity, identity context, drift that was detected, and the action taken

The company has also broadened its integration ecosystem:

Palo Alto Networks Idira: A certified PAM integration that uncovers privileged accounts Idira had no prior record of and places them under management.
Splunk Enterprise Security: A prebuilt integration feeding identity telemetry into the SOC for correlation, investigation, and incident response.

Shannon Wilkinson, CIO and CISO at Findlay Automotive Group, framed the dilemma from an operator’s vantage point: “The challenge is how to enable the business to move faster and realize the productivity that AI agents bring, but it honestly terrifies a lot of us. At Findlay we’re leaning heavily into AI to build a better customer experience. At the same time we must define guidelines, put guardrails in place and, above all, know what the identities are doing.”

When an agent drifts, accuracy counts for as much as reaction time. Pulling an entire integration offline can inflict as much damage as the drift it was meant to stop, so Orchid narrows enforcement to the individual application, credential, or workflow at fault — leaving AI agents free to continue authorized work while the problematic path is sealed off.

Identity dark matter, and weak identity hygiene in particular, have gone unaddressed in most enterprises for years — part of why adversaries today are more likely to log in than to hack in. Handing AI agents access to that accumulated clutter is an invitation to trouble.

For more on Orchid Security’s approach to securing autonomous identities, or to request a demo, visit https://www.orchid.security/use-case/guardrails-for-autonomous-identity.

Meet Us at Gartner Security & Risk Management Summit London 2026

Orchid Security will be on the ground at the Gartner Security & Risk Management Summit, held at ExCeL London from September 22-24. Team members will be available throughout the event to talk through AI readiness and identity dark matter with security and risk leaders. Visit Booth #105 for a live platform walkthrough, or book time in advance via the form to secure a slot with the team.

About Orchid Security

Orchid Security sees straight into the application binary to deliver the industry’s first Identity Control Plane, transforming IAM complexity into clarity, compliance, and control. Its Identity-First Security Orchestration platform continuously discovers enterprise applications, analyzes their native authentication and authorization flows, and accelerates onboarding into governance systems, putting true identity insight in front of security leaders and practitioners, without the months of manual work traditionally required for each task or informational ask. By exposing and remediating the ‘identity dark matter’ hidden across modern environments, Orchid helps enterprises solve identity at its core; reducing risk, lowering operational costs, and achieving compliance at scale.

Media Contact

Chloe Amante camante@montner.com Montner Tech PR