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Who answers when an autonomous agent still has access to your source code or the company's critical database? For most organisations the response is not immediate: the accelerated adoption of internal tools of IA has sown an operational debt that materializes in Orphan agents and permanent privileges who survive the departure of employees and developers.
The problem is not only technical but also identity and governance. Unlike a traditional application, an IA agent can run tasks continuously, move data and reconfigure according to new entries. Classical controls record an action - for example, the cloning of a repository - but they cannot always tie that action to a living person who is responsible. Without that responsibility map, detecting malicious use is a task of divination.

From the point of view of the attacker the surface is tempting: a never-ending token, a service account associated with a forgotten automation or a cloud function with expanded permissions can become vectors to exfilter secrets, insert back doors into pipelines or scale privileges within the company. These operational failures also complicate regulatory compliance and forensic investigations.
The solution is to rethink the management of identities: a control plane that unifies human identities, machines and IA agents. This means that each automated action must be executed with mapped, auditable and, preferably, ephemeral credentials; that tokens are issued by just-in- time and that there is a clear chain of custody between "who authorized" and "what did" the agent do.
In technical practice this translates into integrating identity providers (OIDC / OAuth), secret management and credentials orchestrators with development and deployment platforms. The use of administered identities or service principals with policies of expiry, mutual authentication (mTLS) and automatic rotation reduces the risk of permanent credentials. Microsoft collects good practices for service accounts and application objects that can serve as a starting point: https: / / learn.microsoft.com.
Finding "Shadow AI" requires combining signals: service account inventory, API audits and cloud access logs, repository scanning for embedded tokens and network telemetry that identifies data extraction patterns. These searches must be supported by automatic offboarding processes that revoke permits and approval controls that prevent automation from obtaining more privileges than necessary.
It's not enough to cover holes one by one. It is necessary to design an architecture that allows low access in a programmatic and scale way, without creating bottlenecks in the infrastructure. To this end, it is appropriate to bet on the separation of plans: the logic of the business and the agent is executed where it should be, but the issuance and revocation of credentials depend on a central authority with APIs that accept policies and respond in real time.

In regulatory and risk terms, organizations that do not recognize this crack in their security perimeter face sanctions and, above all, loss of confidence. Documenting responsibilities, maintaining authorisation tests and implementing less privileged controls are already practical requirements for any serious audit. NIST offers frameworks and publications that help to order these practices: https: / / www.nist.gov.
If you are looking for concrete actions to start today: make an urgent inventory of accounts and tokens with access to critical resources; automate the revocation during the staff exit process; require efficient authentication for agents and avoid the storage of code credentials; and enrich your logs with metadata that allow to associate an operation with a human identity or with the policy that authorized it.
The movement towards identity governance - first for IA is not only technical but cultural: it requires security and development to adopt shared responsibility contracts and management to allocate resources to audit and remedy. For those who want to deepen in architecture and concrete tools, there are technical seminars and analyses that address these challenges - for example, sectoral initiatives and identity providers such as SailPoint offer resources and events on this subject - https: / / www.sailpoint.com- and specialized media such as The Hacker News cover technical sessions on risks of orphan agents.
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