Non-human identity: the blind spot your IAM doesn't cover

A critical flaw recently discovered in a widely used open source identity and access management server allowed an attacker with no credentials whatsoever to reset any account's password and take full control of the user, including administrators. The vendor patched the issue quickly, but the episode leaves a lesson that goes beyond the patch: even systems specifically designed to prove who is who can fail at the most basic point, validating the identity itself. And this happens right as companies are multiplying the number of identities they need to trust, many of them faceless, without MFA, and with no one watching their behavior.

The identity model we knew is changing

For decades, identity security was built around people. An employee authenticates, an administrator receives a privilege, a contractor gets provisioned and, eventually, deprovisioned when they leave the company. That model still exists, but it's no longer the only one, and it may not even be the main one anymore.

AI agents that run tasks autonomously, service accounts that connect systems, API keys that authenticate integrations, CI/CD pipelines that push code to production: all of these are non-human identities, and they already outnumber human identities in most mid-size and large organizations. The problem is that the maturity of controls over them lags years behind the maturity of controls over human accounts.

A service account rarely goes through MFA. An API key often stays valid for months or years without rotation. An AI agent granted permission to query a database, generate reports, or trigger a payment API typically inherits a broad access scope, defined once and never reviewed again. If that identity is compromised, or simply behaves anomalously due to a bug in the agent itself, the damage can be as significant as that of a leaked administrative credential, with the added problem that no one is watching it with the same level of attention.

IAM secures the identity, not the moment

The case of the flaw in the identity server illustrates an important conceptual point: even when authentication works perfectly, MFA validates, the account is legitimate, permissions are correct, there's still a question that none of these controls can answer on their own: is the person or process using this identity right now really who they're supposed to be?

An attacker who hijacks a valid session, who abuses a long-lived OAuth token, or who takes over an AI agent authorized to perform actions within its existing scope, passes through every IAM checkpoint without triggering a single alert. Authentication succeeded. The problem is the behavior after authentication, and that's the domain of a different type of control: identity threat detection and response, which continuously monitors how identities behave after they get in, not just whether they had the right to get in.

This is especially critical when the identity in question is an AI agent. Unlike a human, who has relatively predictable behavior patterns, working hours, geolocation, typical sequence of actions, an AI agent can operate 24 hours a day, make hundreds of calls per minute, and change its behavior with every prompt or model update. Defining a baseline of what's "normal" for this type of identity requires specific instrumentation and, increasingly, the use of AI itself to analyze the behavior of other AIs at scale.

What changes in practice for the security team

A few concrete changes help close this gap:

• Inventory non-human identities with the same rigor applied to human identities. If your company doesn't know how many API keys, service accounts, and AI agents exist today, that's the first gap to close.
• Apply the principle of least privilege and periodic scope review, especially for AI agents that gain access to critical systems, sensitive databases, or the ability to execute financial actions.
• Monitor post-authentication behavior in real time, not just the login event. A valid session that starts accessing unusual volumes of data, operating at atypical hours, or reaching systems outside its normal pattern needs to trigger an alert, regardless of whether the credential is legitimate.
• Patch IAM vulnerabilities with the same urgency as perimeter vulnerabilities. The recent case of a critical flaw in an identity server shows that the very system meant to protect identities can become an entry point if it isn't treated as a critical asset within the vulnerability management program.

In day-to-day security operations, this kind of continuous behavioral monitoring is exactly what a well-structured SOC and MDR needs to cover, correlating identity signals with network, endpoint, and cloud telemetry to identify when a legitimate session starts behaving like a threat. Intelliway addresses this scenario with ISA Cyber, which uses AI agents to analyze behavior at scale and reduce the time between the anomaly and the response, something practically impossible to do manually as the volume of non-human identities grows every month.

On the vulnerability management side, critical flaws in IAM systems like the one described here reinforce why a structured VOC process with ISA Insight needs to prioritize identity assets with the same severity it would give an internet-facing firewall: a compromised IAM server isn't just another vulnerable system, it's the master key to everything else.

Practical takeaway

The growth of non-human identities isn't a distant trend, it's the operational reality of any company that already uses automations, API integrations, or AI agents in some business process. Treating these identities with the same loose controls that existed five years ago opens a door that grows bigger with every new agent put into production. The practical path forward runs along three simultaneous fronts: complete inventory, rigorous application of least privilege, and, above all, continuous behavioral monitoring that doesn't stop at validating who got in, but watches what happens next.

If your company is expanding its use of AI agents and automations and wants to understand how to monitor these identities with the same robustness applied to human accounts, talk to Intelliway at /empresa#contato.