ManageEngine Adds Autonomous AI Capabilities to Its Suite

ManageEngine, a division of Zoho Corporation and a leading provider of enterprise IT management solutions, has announced the rollout of Zia Agents, the company’s proprietary AI-powered autonomous agent, across its digital enterprise management suite. Built within a secure and privacy-compliant framework, these agents can orchestrate and execute tasks without the need for intervention. The launch marks a milestone in the company’s vision of enabling truly autonomous IT environments.

The rollout of Zia Agents comes as South African organisations increasingly seek AI-driven and integrated IT operations. The platform is designed to help organisations manage the growing complexity of hybrid environments, strengthen cybersecurity resilience and improve operational efficiency.

This demand has positioned South Africa as a strategic growth market for ManageEngine. The company has recorded 20% year-on-year growth in new customers and now serves more than 6,000 customers in the country.

“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 can be deployed with a single click, while Zia Agent Studio enables customers to build and configure custom agents using natural language. Agents are fully customisable, with organisations retaining control over configuration, tools and knowledge bases.
• Multi-agent orchestration allows a master agent to coordinate specialised subagents. This helps ensure complex workflows are executed across both IT and business systems.
• Customer data is not used to train AI models. Administrators can define strict behavioural guardrails, while built-in observability provides a full audit trail of agent activity.
• ManageEngine supports the standard Model Context Protocol, enabling interoperability with third-party large language models 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. This makes it possible to enable native cross-product intelligence without custom integration overhead.

In IT service management environments, organisations can deploy prebuilt agents such as L1 service desk specialists, PIR generators and knowledge base article creators. They can also configure custom agents for functions spanning HR, IT and business workflows.

These agents operate within defined governance guardrails. They draw on contextual knowledge to execute tasks from end to end and can coordinate through a master agent where required.

Across IT operations and security, Zia Agents introduces an execution layer on top of existing visibility tools. The platform supports faster incident diagnosis, root cause identification and automated remediation.

It also enables security teams to correlate alerts, investigate anomalies and reduce false positives through cross-domain intelligence.

Endpoint-focused agents support compliance management, device diagnostics and patch troubleshooting. Automated analysis is designed to reduce manual intervention and improve response times.

Addressing Data Privacy and Governance in Enterprise AI Adoption

As organisations accelerate the adoption of AI-driven tools, data privacy and regulatory compliance remain central considerations for South African enterprises.

The Protection of Personal Information Act (POPIA) sets clear requirements for data handling and processing. ManageEngine says its approach to AI development is built on long-standing privacy principles and full-stack control across its platform.

This ensures customer data remains within governed environments. It also allows organisations to adopt autonomous agent capabilities while maintaining oversight, auditability and compliance alignment.