ManageEngine has launched Zia Agents across its digital enterprise management suite. These proprietary autonomous AI agents are designed to execute complex IT tasks without human intervention, covering service management, security, and observability. Built on a secure and privacy-compliant framework, the agents allow for custom configurations and multi-agent orchestration while ensuring data sovereignty.
“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, CEO, ManageEngine.
Key Highlights of ManageEngine’s Autonomous AI Capabilities:
- Prebuilt agents deployed in a single click, while Zia Agent Studio lets users build custom agents from scratch or configure them through NLP. Agents are fully customizable; users control configuration, tools, and the knowledge base.
- For complex workflows, multi-agent orchestration lets a master agent coordinate specialized subagents, routing the right work to the correct agent seamlessly.
- Customer data is never used to train any AI model. Administrators can define guardrails for agent behavior, and built-in observability provides a complete audit of agent actions.
- ManageEngine tools support standard MCP, which allows customers to make them work with third-party LLMs and agentic platforms.
Redefining Enterprise IT Management With Zia Agents
With the launch of Zia Agents, the focus shifts from AI-enabled assistance to autonomous execution across IT service management, full-stack observability, endpoint management, and security operations. These agents are built on the same Zia agentic platform shared across the ManageEngine suite, making it easy to enable native cross-product intelligence without custom integration overhead.
- Enabling IT and business service workflows: In the realm of service management, teams can build AI agents for use cases spanning IT and business processes, ranging from a resolution assistant or an HR assistant to a CI health and impact analyzer, all in just a few steps. These agents, which can be orchestrated by a master agent, connect to multiple IT and business applications; grounded with contextual knowledge, the agents operate within set guardrails to autonomously execute and take ownership of tasks end to end. Prebuilt agents like the L1 service desk specialist, PIR generator, and KB article generator deploy in minutes.
- Driving self-diagnosing IT operations: The agents also add an action layer on top of the visibility layer, thereby moving enterprises away from traditional observability and significantly reducing remediation times. The agents can help in troubleshooting incidents by finding the root cause behind them to paving the way for automating the recovery process. Meanwhile, agents in the company’s cloud cost management solution help to investigate unexpected cost surge and also compute the combined costs incurred across different cloud accounts.
- Automating tasks to accelerate security operations: Zia Agents automate security tasks such as user reviews, alert correlation, and multi-step investigations, bringing hours of manual work down to minutes. Organizations can build custom agents rooted in their organizational knowledge, processes, and risk priorities to reduce false positives. By connecting across the IT suite, agents can pull cross-domain context to correlate anomalies, evaluate vulnerabilities, and map device risk in one comprehensive assessment for a faster, more confident response. Teams can talk to their log and alert data in plain English, calling on prebuilt or custom agents to do the work for them.
- Keeping endpoints compliant and up to date: Some of the prebuilt agents take care of EDR event triage, device diagnosis, patch troubleshooting, and compliance. While the EDR Event Triage Agent correlates telemetry, maps attack chains to MITRE ATT&CK, and recommends prioritized next steps before analyst intervention, the Device Investigation Agent delivers complete root cause diagnosis the moment a ticket lands, with no manual querying required. Teams can also leverage Zia Agents to run deep-dive analysis on any failed endpoint, with full-fix troubleshooting steps and device context delivered on demand, along with an analysis on deployment gaps and a sequenced roadmap to 100% compliance. Also, there is an option to build custom agents for other endpoint-specific workflows.
Addressing the Data Privacy and Governance Concerns
While AI agents are already a proven technology delivering great business value, concerns around data privacy are holding back enterprise adoption. However, the introduction of Zia Agents in ManageEngine’s suite, backed by the company controlling the entire stack, ensures proper governance.
“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.
