ManageEngine, a division of Zoho Corporation and a provider of enterprise IT management solutions, has announced the rollout of Zia Agents, its proprietary AI-powered autonomous agents, across its digital enterprise management suite.

Built within a secure and privacy-compliant framework, the agents are designed to orchestrate and execute tasks without human intervention. The launch marks a significant step in the company’s vision of enabling autonomous IT environments.

“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.

The new capabilities allow organizations to deploy prebuilt agents with a single click. Through Zia Agent Studio, users can also build custom agents from scratch or configure them using natural language prompts. The agents are fully customizable, giving users control over configuration, tools, and knowledge sources.

In addition, ManageEngine supports multi-agent orchestration, enabling a master agent to coordinate specialized subagents and automatically route tasks to the appropriate agent. The company stated that customer data is never used to train AI models. Administrators can also define guardrails for agent behavior, while built-in observability provides complete visibility into agent actions.

Furthermore, ManageEngine tools support the standard Model Context Protocol (MCP), allowing customers to integrate them with third-party large language models and agentic AI platforms.

With the launch of Zia Agents, the company is extending AI capabilities beyond assistance to autonomous execution across IT service management, full-stack observability, endpoint management, and security operations. The agents operate on a shared Zia agentic platform across the ManageEngine suite, enabling native cross-product intelligence without the need for custom integrations.

For service management, organizations can create AI agents for IT and business workflows, including resolution assistants, HR assistants, and configuration item health analyzers. These agents can connect with multiple business and IT applications, leverage contextual knowledge, and autonomously execute tasks within predefined guardrails. Prebuilt agents such as the L1 Service Desk Specialist, Post Incident Review Generator, and Knowledge Base Article Generator can be deployed within minutes.

The platform also introduces autonomous capabilities for IT operations. The agents add an action layer to observability systems, helping organizations move beyond traditional monitoring. They can identify root causes of incidents and support automated recovery processes. In cloud cost management, the agents can investigate unexpected spending increases and calculate costs across multiple cloud accounts.

For security operations, the AI agents automate tasks such as user reviews, alert correlation, and multi-step investigations. According to the company, this can reduce hours of manual effort to minutes. Organizations can also create custom agents aligned with internal processes, risk priorities, and organizational knowledge to improve accuracy and reduce false positives.

By integrating across the IT ecosystem, the agents can correlate anomalies, assess vulnerabilities, and map device risks through a unified analysis. Security teams can also interact with log and alert data using natural language and leverage prebuilt or custom agents to perform investigations.

The endpoint management capabilities include prebuilt agents for EDR event triage, device investigations, patch troubleshooting, and compliance management. The EDR Event Triage Agent correlates telemetry, maps attack chains to the MITRE ATT&CK framework, and recommends prioritized actions before analyst involvement. Meanwhile, the Device Investigation Agent provides root cause analysis as soon as a support ticket is created.

Organizations can also use Zia Agents to perform deep-dive analysis of failed endpoints, receive troubleshooting recommendations, identify deployment gaps, and generate roadmaps for achieving full compliance. Custom endpoint-specific agents can also be developed.

The company emphasized that while AI agents have demonstrated significant business value, concerns around privacy and governance continue to influence enterprise adoption.

“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.

With the introduction of Zia Agents, ManageEngine is expanding its enterprise AI capabilities while emphasizing governance, privacy, and autonomous operations across IT, security, observability, and endpoint management.

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