Give each AI agent an accountable owner and a tested access boundary before connecting it to business systems.
A support agent needs to read approved knowledge articles and create a draft response. During development, it receives a shared credential that can also update customer records. The demonstration succeeds, but the agent has more authority than its assigned task requires.
Idira identity security is relevant to this boundary between an AI agent’s purpose and its actual access. A practical evaluation should establish which identity performs an action, who is accountable for it, what resources it may use and how that authority ends.
The official Idira platform overview describes an identity security offering spanning privileged access, machine identities and agentic identities. For AI agents, the evaluation should focus on the specific integrations and controls available for the proposed application.
The Idira agentic identity overview describes agent discovery, an inventory enriched with ownership and permissions, dynamic access controls and records connecting agent actions to users and resources. Validate these capabilities through a representative workflow before expanding the scope.
Start with a short task statement. For the support example, the agent may search an approved knowledge collection and prepare a response for review. It does not need authority to change a customer’s subscription or issue a refund.
Translate that statement into an access plan: permitted data, tools, operations and conditions requiring human approval. Identify the business owner who approves the purpose and the technical owner who maintains the agent and its integrations.
Keep the task statement and access plan together. When a new tool is added, the owner should be able to explain why it is needed and which additional authority it introduces.
An agent may act through its own service identity, a delegated user identity or a connected tool with separate credentials. Map these relationships so an action can be attributed to the right participant.
Check whether several agents share the same credential. If they do, determine how the organisation will distinguish their activity and limit one agent without interrupting all the others. Prefer a design with an identifiable, manageable access boundary for each approved use case.
Include the human who initiates or approves a task where that relationship is relevant. The record should make clear whether the agent acted for a particular user or ran an independently scheduled job.
A written instruction to an agent describes expected behaviour. The application’s access controls determine which operations its credentials can actually perform. Test both.
Use an approved test environment to confirm that the agent can complete its intended work and cannot perform an unrelated operation. For the support example, reading the knowledge collection should succeed while updating a restricted customer field should fail at the relevant control.
Inspect tool and API permissions, resource scope and any delegated authority. A narrow interface can still expose broad power if the credential behind it has unrestricted access.
Where the proposed configuration provides time-limited or task-based access, define when it begins and what event ends it. Include successful completion, cancellation, timeout and failed execution in the test plan.
Verify the result at the protected service. Ending an agent job should have the intended effect on the access granted for it. Check whether active sessions, cached credentials or delegated permissions need additional handling in the design.
Document what happens when the agent needs to resume interrupted work. A retry should follow an approved access path with appropriate evidence, rather than relying on credentials left active after the first attempt.
Technical events become more useful when they can be grouped around a business request. Decide how the workflow identifies the initiating request, agent, tool operation, resource and outcome.
Ask a reviewer who did not run the test to reconstruct a sample task. They should be able to identify the authority used and distinguish an approved action from a denied one. Record gaps in the available evidence and decide how the application or integration will supply the missing context.
Limit the information retained to what the review requires. Activity records can themselves contain sensitive content, so define access and retention for them as part of the operating process.
Choose an authorised test agent and exercise the proposed revocation process. Identify who can initiate it, which access paths it affects and how the team confirms the result. Check the behaviour of both new requests and work already in progress.
Revoking access cannot undo an action that has already completed. The response plan should therefore include a way to review recent activity and identify any business changes that need attention.
Repeat this exercise when tools, credentials or execution environments change. A control tested against one integration should not be assumed to cover a newly connected system.
Use the evidence to decide which workflows are ready for broader use and which still need changes to permissions or operations.
No. Its permissions should follow the approved task. A read-and-draft workflow may need much less authority than an agent allowed to change business records.
No. Instructions guide behaviour, while access controls constrain what connected identities can do. Test the enforced permissions as part of the workflow.
Bring one agent use case, its tools and data sources, the intended identity model, required approvals and the access-ending scenarios that need to be verified.
Explore Gulf IT’s Idira vendor page or contact Gulf IT to discuss identity security. Confirm the relevant product capabilities, integrations and support for the AI workflow you want to evaluate.
