AI agents

Teams build agents on whichever AI platform they work in, and the access granted to an agent often outlives the work it was built for. ManageEngine SecureAI brings every discovered agent together in a single inventory, covering each AI platform you have onboarded, so that every agent running in your organization is accounted for.

For each agent, the inventory shows its AI platform and instance, its model and owner, when it was created, and whether it is still active. An access graph shows what each agent can reach. The graph groups an agent's access into identity, models, knowledge, tools, MCP servers, memory, guardrails, and IAM roles. Use the inventory to establish which agents exist, who is accountable for each of them, and how far their access extends. You do not change what an agent can access here. Use an access review request or an access certification campaign for that.

Agents that need attention first

Two groups of agents need attention ahead of the rest of the inventory.

Privileged agents

SecureAI identifies an agent as privileged when it holds entitlements that let it access, modify, or expose sensitive data. You decide which entitlements count by marking them as privileged. If their access does not get reviewed, these agents put the most sensitive data at risk.

Unmanaged agents

An agent that SecureAI has discovered but that has no owner is an unmanaged agent. No one approves or rejects its access requests, and no one reviews its entitlements. Its access stays in place until the agent has an owner.

An agent can be both privileged and unmanaged. Resolve these agents first: they hold sensitive access and no one is accountable for it.