ManageEngine rolls out autonomous AI agents across suite

ManageEngine has rolled out Zia Agents across its digital enterprise management suite, extending autonomous AI functions across its IT management products.

The agents can orchestrate and execute tasks without human intervention through a shared Zia platform used across the suite. The rollout spans areas including IT service management, observability, endpoint management and security operations.

Users can deploy prebuilt agents with a single click or build their own through Zia Agent Studio. The tool also lets users configure agents through natural language prompts while retaining control over configuration, tools and the knowledge base each agent uses.

For more complex workflows, ManageEngine has introduced multi-agent orchestration, in which a master agent coordinates specialist subagents and assigns work between them.

Privacy focus

ManageEngine said customer data is not used to train any AI model. Administrators can also set guardrails for agent behaviour and review a full audit trail of agent actions through built-in observability features.

Its tools also support the standard Model Context Protocol, or MCP, allowing customers to connect them with third-party large language models and other agentic platforms.

Within service management, teams can build agents for IT and business workflows such as resolution support, HR support and configuration item health analysis. Prebuilt agents include an L1 service desk specialist, a post-incident review generator and a knowledge base article generator.

In IT operations, the new agents add an execution layer to monitoring tools, according to ManageEngine. They can investigate incidents, identify root causes and support recovery processes, while agents in its cloud cost management tools can examine unexpected spending increases and calculate combined costs across cloud accounts.

Security tasks

In security operations, the agents can automate user reviews, alert correlation and multi-step investigations. Organisations can also create custom agents based on their own knowledge, processes and risk priorities, and use them to analyse anomalies, vulnerabilities and device risk across connected systems.

ManageEngine has also applied the technology to endpoint management, where prebuilt agents can handle tasks such as EDR event triage, device diagnosis, patch troubleshooting and compliance analysis.

Examples include an EDR Event Triage Agent that correlates telemetry and maps attack chains to MITRE ATT&CK, and a Device Investigation Agent designed to provide root cause diagnosis when a ticket is opened. Teams can also use the agents to analyse failed endpoints, identify deployment gaps and outline steps towards full compliance.

Rajesh Ganesan, Chief Executive Officer of ManageEngine, framed the launch as part of a broader effort to tailor AI systems for business IT work rather than rely on general-purpose models alone.

"The frontier models are great for all-purpose use but are not often efficient for specific areas like enterprise IT. We take great care in building AI technology that is not only purpose-built, but also provides value in terms of cost and long-term use. We are excited to bring autonomous AI capabilities to our offerings and provide a reliable platform for our customers to achieve efficient outcomes," Ganesan said.

The rollout comes as software suppliers face rising scrutiny from customers over how AI systems handle sensitive business data. Governance, data residency and auditability have become central issues for IT buyers considering wider use of autonomous systems.

ManageEngine said its longstanding approach to controlling its own software stack helps address those concerns. It argued that this gives customers greater assurance over governance as they adopt agent-based systems across operational workflows.

"The privacy principles adopted by ManageEngine for the last two decades in building our stack now stands vindicated even more in the age of AI agents. Our commitment to upholding the principles of data privacy and sovereignty gives assurance to our customers to adopt AI agents with confidence," said Umasankar Narayanasamy, Vice President, ManageEngine.