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05/07/2026 10:43 pm
TL;DR: AI agents are moving into everyday workflows, but most IAM programs still lack a clear inventory of which agents exist, who owns them, and what they can access, according to Linx Security. That visibility gap leaves governance, ownership, and least-privilege decisions incomplete before agentic risk can be managed.
NHIMG editorial — based on content published by Linx Security: Agentic Identity Discovery and Governance with Linx
Questions worth separating out
Q: How should security teams govern AI agents that act like shared identities?
A: Security teams should govern AI agents as shared identities with explicit ownership, invocation paths, and access scope.
Q: Why do AI agents create more IAM risk than ordinary automation?
A: AI agents create more IAM risk because they can be reused across tasks, users, and systems while still appearing like a single identity.
Q: What breaks when AI agents are not in the identity inventory?
A: When AI agents are missing from the identity inventory, ownership becomes unclear, access reviews lose context, and remediation teams cannot reliably decide whether the agent should still exist.
Practitioner guidance
- Inventory every agent and assign an accountable owner Create a governed registry for AI agents that records purpose, business owner, technical owner, and current access scope.
- Review who can invoke each agent Map the humans, service accounts, and downstream agents that can activate or influence an agent.
- Add agent reach to access reviews Fold the systems, data, and actions an agent can reach into recertification workflows.
What's in the full article
Linx Security's full article covers the operational detail this post intentionally leaves for the source:
- How the agent discovery workflow surfaces ownership, access, and reach in practice
- Where the 'agents' tab sits in the platform and how teams operationalise it
- Best-practice guidance for folding agentic identities into existing governance routines
- How the vendor positions discovery across SaaS, cloud, and on-prem environments
👉 Read Linx Security's analysis of agentic identity discovery and governance →
Agentic identity discovery: what IAM teams need to govern now?
Explore further
05/07/2026 10:46 pm
Agentic identity discovery is now a prerequisite for IAM governance, not a nice-to-have inventory feature. When organisations cannot identify which agents exist, they cannot assign ownership, recertify access, or judge whether a task is still within scope. That makes discovery the first governance control, not a downstream reporting function. The practitioner conclusion is that agent inventory must be part of the identity control plane, not a separate experiment.
A few things that frame the scale:
- 98% of companies plan to deploy even more AI agents within the next 12 months, despite documented rogue behaviour in 80% of current deployments, according to AI Agents: The New Attack Surface report.
- Only 52% of companies can track and audit the data their AI agents access, leaving 48% with a complete blind spot for compliance and breach investigation.
A question worth separating out:
Q: Who should be accountable for agentic identity governance?
A: Accountability should sit with the business owner of the agent, the technical team that operates it, and the identity team that enforces governance. The important point is that accountability cannot be inferred from the tool itself. It must be documented, reviewable, and tied to the agent's current access and use case.
👉 Read our full editorial: Agentic identity discovery closes the visibility gap in IAM programs
