ManageEngine has rolled out its Zia Agents across its digital enterprise management suite, extending autonomous AI capabilities across its IT management products.
The agents can orchestrate and execute tasks without human intervention through a shared platform spanning service management, observability, endpoint management and security operations.
The rollout brings autonomous task execution to several areas of enterprise IT administration. Customers can deploy prebuilt agents with a single click, while Zia Agent Studio lets users build custom agents from scratch or configure them through natural language.
Users can define the tools, configuration and knowledge base for each agent. For more complex processes, the system also supports multi-agent orchestration, in which a master agent coordinates specialist sub-agents assigned to different tasks.
Rajesh Ganesan, Chief Executive Officer at ManageEngine, said the company had focused on developing AI tools for specific IT use cases rather than general-purpose applications.
"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," said Rajesh Ganesan, Chief Executive Officer at ManageEngine.
Service workflows
In service management, organisations can create agents for IT and business workflows, including issue resolution, human resources support and configuration item health analysis. These agents can connect with multiple IT and business applications and operate within guardrails set by administrators.
Prebuilt options include a level 1 service desk specialist, a post-incident report generator and a knowledge base article generator. These can be deployed in minutes and can also be managed by a master agent when several agents are used together.
Operations and security
In observability and IT operations, the agents add an action layer to monitoring systems. That allows them to investigate incidents, identify root causes and support recovery tasks, rather than only surfacing data for human operators to review.
In ManageEngine's cloud cost management software, agents can investigate unexpected spending increases and calculate combined costs across different cloud accounts. The company positioned this as part of a broader shift from traditional observability to systems that can also act on operational data.
Security operations is another focus of the rollout. Agents can automate tasks including user reviews, alert correlation and multi-step investigations, with the aim of reducing manual workloads.
By linking data across different parts of the IT environment, the agents can bring together context from logs, vulnerabilities and device risk signals in a single assessment. Teams can also query log and alert data in plain English using either prebuilt or custom agents, according to ManageEngine.
Endpoint focus
Endpoint management is also part of the rollout. Prebuilt agents cover endpoint detection and response event triage, device diagnosis, patch troubleshooting and compliance tasks.
One agent correlates telemetry, maps attack chains to MITRE ATT&CK and recommends next steps before a security analyst intervenes. Another is designed to deliver root cause analysis when a support ticket is opened, while others can analyse failed endpoints, suggest troubleshooting steps and identify deployment gaps linked to compliance targets.
Customers can also build custom agents for other endpoint-specific workflows, giving them scope to tailor automation to internal processes and device management policies.
Privacy concerns
ManageEngine placed particular emphasis on privacy and governance in the rollout. It said customer data is never used to train any AI model, and administrators can define guardrails for agent behaviour while built-in observability creates an audit trail of agent actions.
The software also supports the model context protocol, allowing customers to use ManageEngine tools with third-party large language models and agentic platforms. That could appeal to organisations seeking interoperability while retaining control over how and where models are used.
Umasankar Narayanasamy, Vice President at ManageEngine, linked the launch to concerns that have slowed wider deployment of AI agents in large organisations.
"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 at ManageEngine.