Business benefits

AI agents now work inside enterprise systems without a person in the loop. They hold permissions of their own, and no single person takes ownership of the actions they take. ManageEngine SecureAI gives security and identity teams one place to see every agent, control what it can do, and show that its access is reviewed.

Bringing every AI agent under management

Teams build agents in Microsoft Copilot Studio, Microsoft Foundry, Gemini Enterprise Agent Platform, and Zia Agents, often without IT's knowledge. SecureAI brings those agents into one list, with the application, model, creator, and owner of each, and shows which agents have no owner. An owner approves the access requests raised for an agent and reviews what that agent can use.

Limiting what an agent can reach

SecureAI collects what each agent has been given, including roles, API permissions, licenses, models, knowledge bases, and MCP servers. SecureAI lists the agents that hold entitlements you have marked as privileged, and the access graph of an agent shows everything it can reach in one view.

Applying access rules to every tool call

An agent that calls an MCP server directly leaves no record, and nothing checks the call. With SecureAI, agents call an MCP gateway instead, which checks every call against its control policies and then allows, blocks, or redacts it, logging the outcome either way.

Blocking prompt injection and data leaks

Agent traffic carries risks that ordinary access controls were not built for, such as hidden instructions in the content an agent reads. SecureAI supplies ready-made control policies for these, mapped to the OWASP Top 10 and to MITRE ATLAS™. They cover hidden instructions, attempts to get around an agent's safeguards, bulk data pulls, and sensitive details, such as account numbers coming back in a response.

Correcting weak settings in AI vendor accounts

An enterprise AI subscription is often administered outside IT, so its settings may not match the rest of your organization. SecureAI checks each account for weak settings across API keys, data handling, user access, logging, network access, and connected apps. Each account gets a risk score, and every failed check lists what is wrong and how to fix it.

Showing that AI access is reviewed

Auditors ask who approved an agent's access, who reviewed it, and when. SecureAI runs certification campaigns that put an agent's access in front of a named certifier on a schedule. It tracks each access request through review, approval, and execution, and keeps a record of every call an agent made.