AI Agent Discovery

AI agents are the new emerging class of non-human identities (NHI). They have become so engrained with our world that we cannot view it as experimental technology anymore. As with all identities, AI agents carry the risk of going rogue or being corrupted, and need to be governed, monitored, and held accountable.

Just like rogue user accounts employed for insider attacks orAI agents prompted with malicious instructions or weak guardrails, AI use presents a real threat. With one in five organizations experiencing breaches from shadow AI [IBM 2025], it won't be long before AI-driven cyberattacks become commonplace.

ManageEngine SecureAI, an enterprise AI governance solution, offers ways to discover AI agents without the complexity of code-level analyses or the doubt that a single AI agent has been excluded. With AI agents adding to or even replacing humans, adopting an automated AI agent discovery approach is a necessity to keep pace with their development.

Why you need an AI agent discovery solution

Not every organization building AI apps or relying on AI tools uses just one service. Ranging from coding agents, attendance trackers, interview bots, and legal consults, there are a multitude of AI agents created with different platforms like Microsoft Foundry, Gemini Enterprise Agent Platform, Microsoft 365 Copilot Studio, and more.

Tracking AI agents and backtracking their actions when split across different agentic AI platforms is cumbersome and unproductive.There's also a huge chance that some of them may never be found. 82% of organizations discovered previously unknown AI agents that even security or IT was unaware oft [CSA, 2026]. An AI agent discovery solution can identify malicious AI agents not long after they are deployed and keep AI agent sprawl in control.

There are three core organization-wide benefits that Secure AI can assist with as an AI agent discovery solution.

Compliance: Discover every AI agent and ensure they are held to the same standard as your organization policies by tracking their details, policies, and ownership status.

Accountability: Identify AI agents and hold their owners accountable for the agent's actions or inaction.

Monitoring: After you create an AI agent inventory, you can keep track of their permissions, access, and actions with SecureAI's unified reporting interface.

How SecureAI performs AI agent discovery

Configure your agentic AI platforms or directory services and let SecureAI identify your shadow agents using the three Cs.

Collect: SecureAI scans your agentic AI platforms and identity providers like Microsoft 365 and Google Workspace to surface every AI agent in your environment.

Correlate: Every discovered agent is brought into SecureAI and cross-referenced against its originating platform and designated human owners to verify proper deployment and authorization.

Classify: Agents that check out are allowed to operate. Agents that don't comply—no human owner or authorization trail and too many permissions—are flagged for review before they become a problem.

AI agent discovery also involves discovering and assessing their purpose: where they exist, who owns them, and what permissions they have. SecureAI's Access Graph shows you what each agent is responsible for — the permissions they possess, the guardrails imposed on them, the documents and tools they can access, and what other AI agents they can control.

With every agent mapped, verified, and contextualized, SecureAI gives you a complete, trustworthy picture of your agentic AI environment that you can actually act on.

How organizations can use SecureAI to build an AI agent inventory

AI agent discovery is only the first step. For organizations navigating the risks of agent sprawl and ungoverned access, what matters is what comes next: The ability to take action. SecureAI turns discovery into AI agent governance, giving security and IT teams the controls they need to manage AI agents the same way they manage any other identity in their environment.

Build an AI BOM: Account for all AI agents in your organization spread across agentic AI platforms and IAM systems to create a comprehensive AI Bill of Materials (AI BOM). Track the actions of AI agents, manage their access permissions, and assign them human owners, all from a single unified console.

Prevent AI agent sprawl: AI Agents without an owner or a policy are exposure waiting to be exploited. SecureAI builds the AI BOM to catch them, flagging anything without a named owner, agents with elevated permissions, or those outside your approved MCP Server Registry. With SecureAI, you can pinpoint the AI agents driving that exposure, assign ownership, tighten access, and solve AI agent sprawl before it becomes a breach.

Enable access review for AI agents: After SecureAI builds an agent inventory, you can apply access review policies on the AI agents. By providing only what they need for their role or group, this ensures access permissions are managed on a least-priviledge basis.

Secure your security posture: By eliminating AI agent sprawl with SecureAI, you can ensure that your organization's AI Security Posture Management (AISPM) is capable to defend against LLM‐driven attacks by corrupted AI agents that have no guardrails or too many permissions.