ManageEngine, a division of Zoho Corporation, has announced the deployment of Zia Agents, the autonomous AI agents developed by the company itself, across its digital enterprise management suite. The company develops within a secure and privacy-compliant framework, so these agents can coordinate and execute tasks without the need for human intervention. The launch marks a milestone in the company’s vision of enabling truly autonomous IT environments.
“General models are great for multi-purpose use, but they are often not efficient in specific areas such as enterprise IT. We take special care to develop AI technology that is not only purpose-built, but also delivers value in terms of cost and long-term usage. We are pleased to add autonomous AI capabilities to our offering and provide a reliable platform that enables our customers to achieve effective results,” said Rajesh Ganesan, CEO of ManageEngine.
Highlights of ManageEngine’s autonomous AI capabilities:
- Pre-configured agents that deploy with a single click. Zia Agent Studio allows users to create custom agents from scratch or configure them using natural language processing (NLP). Agents are fully customizable: users control settings, tools, and the knowledge base.
- For complex workflows, multi-agent orchestration allows a primary agent to coordinate specialized sub-agents, seamlessly assigning each task to the correct agent.
- Customer data is never used to train any AI model. Administrators can define behavioral limits for agents, and built-in observability provides complete auditing of agent actions.
- ManageEngine tools are compatible with the MCP standard, allowing customers to make them work with third-party LLM and agentic platforms.
Redefining enterprise IT management with Zia Agents
With the launch of Zia Agents, ManageEngine’s focus shifts from AI-enabled support to autonomous execution in areas such as IT service management, full-stack observability, endpoint management, and security operations. These agents are built on the same Zia agentic platform used across the entire ManageEngine suite, making it easy to deploy native intelligence across products without the burden of custom integration.
- Enabling IT and business services workflows: In service management, teams can create AI agents for use cases that span IT and business processes, from a resolution assistant or HR assistant to a CI health and impact analyzer, all in just a few steps. These agents, which can be coordinated by a master agent, connect to multiple IT and business applications; Based on contextual knowledge, agents operate within established limits to execute tasks autonomously and manage them from start to finish. Pre-configured agents, such as the Tier 1 Help Desk Specialist, PIR Generator, and Knowledge Base Article Generator, are deployed in minutes.
- Boost IT operations with self-diagnosis: Agents also add a layer of action on top of the visibility layer, helping companies move beyond traditional observability and significantly reduce resolution times. Agents can help resolve incidents by identifying their root cause and paving the way toward automating the recovery process. For their part, agents in the company’s cloud cost management solution help investigate unexpected increases, as well as calculate the combined costs generated in the different cloud accounts. – Task automation to accelerate security operations: Zia Agents automates security tasks such as user reviews, alert correlation, and multi-step investigations, reducing manual work that previously required hours to minutes. Organizations can create custom agents based on their organizational knowledge, processes, and risk priorities to reduce false positives. By connecting to the entire IT suite, agents can extract cross-domain context to correlate anomalies, assess vulnerabilities, and map device risk in a comprehensive assessment, with the goal of delivering a faster, more secure response. Teams can interact in natural language with their log and alert data, using pre-configured or custom agents to do the work for them.
ManageEngine tools are compatible with the MCP standard, allowing customers to make them work with third-party LLM and agentic platforms
- Keep endpoints up to date and aligned with compliance requirements: Some of the preconfigured agents handle EDR event classification, device diagnostics, patching troubleshooting, and regulatory compliance. While the EDR Event Triage Agent correlates telemetry, maps attack chains to MITER ATT&CK, and recommends prioritized next steps prior to analyst intervention, the Device Investigation Agent provides a complete root cause diagnosis the moment a ticket is received, without the need for manual queries. Teams can also leverage Zia Agents to perform in-depth analysis of any failed endpoint, with full resolution steps and device context on demand, along with a deployment gap analysis and a sequential roadmap to reach 100% compliance. Additionally, there is the option to create custom agents for other endpoint-specific workloads.
Address data privacy and governance concerns
Although AI agents are already a proven and established technology that provides great business value, concerns around data privacy are holding back their adoption by
part of the organizations. However, the addition of Zia Agents to the ManageEngine suite, backed by the company that controls the entire technology stack, ensures proper governance.
“The privacy principles adopted by ManageEngine over the last two decades in the development of our platform are now further validated in the era of AI agents. Our commitment to upholding the principles of privacy and data sovereignty provides assurance to our customers to adopt AI agents with confidence,” explains Umasankar Narayanasamy, vice president of ManageEngine.
