AuthMind says 1 in 5 enterprise AI agents are shadow agents

AuthMind says about 20% of AI agents found across customer enterprise environments are shadow agents that security teams do not know about. The company says its expanded discovery tools can surface those agents by watching network traffic, a gap it says existing identity and policy tools miss.

Why it matters: - Shadow AI agents can hold real credentials, access corporate data and systems, and operate without human oversight. - AuthMind says discovering those agents turns unknown activity into governed identities with clear ownership and visibility. - The company says the issue matters because a shadow agent can inherit the access of the account it runs under, which can expand risk if the agent or its credentials are compromised.

What happened: - AuthMind said approximately 20% of AI agents operating inside enterprise environments are shadow agents. - The finding comes from AuthMind customer deployments and lines up with the availability of the company's expanded agentic AI discovery capabilities. - AuthMind said the new discovery features are available now for customers. - The company invited prospects to schedule a demo at More information.

The details: - Shadow agents are AI agents that are not approved or managed by an organization. - They can be built on personal accounts, unauthorized credentials, consumer AI tools or unsanctioned integrations. - AuthMind said these agents do not appear in the identity provider, IAM inventory or security asset lists. - The company said its discovery method starts with network traffic, where every agent that calls a model, retrieves data or touches an application leaves a footprint. - AuthMind's expanded agentic AI discovery uses its patented Identity Access Flow Graph to identify and observe AI agents in network traffic and correlate that activity with identity, cloud and endpoint telemetry. - The platform classifies agents into three groups: coding agents, user-assisted agents that act on behalf of an employee, and autonomous agents that operate independently. - AuthMind said each agent is mapped back to the human who created or operates it, the systems it accessed, and the NHIs and secrets it used. - The company said its platform is the only identity security platform that discovers and observes AI agents through network traffic.

Between the lines: - AuthMind is positioning network traffic as the blind spot in agentic AI security, especially for agents that bypass registration and traditional governance workflows. - The company is also broadening the identity-security market around non-human identities by tying AI agents to human operators, systems and secrets. - CEO and co-founder Shlomi Yanai said organizations can secure agentic AI only after detecting what agents exist and observing what they access and do. - Yanai said roughly one in five agents was not sanctioned across customer environments and AuthMind's own environment.

What's next: - AuthMind says the expanded discovery capability is live for customers now. - The company appears to be pushing buyers to assess which AI agents are already active in their environments and then govern them before access is misused. - AuthMind said its approach can expose agents that never registered elsewhere and cannot be discovered by competitive tools.

The bottom line: - AuthMind is betting that enterprise AI security starts with finding hidden agents first, then governing them second.