Virtana launches AI agent war room for IT incidents

Virtana has launched Agentic Observability Enterprise Management, a system that coordinates AI agents from different enterprise platforms during IT incidents. It is designed to bring together agents that would otherwise operate in isolation.

The launch comes as companies deploy growing numbers of AI agents across IT service management, cloud, security and software development systems, increasing pressure to connect them when incidents span multiple domains.

The system uses Model Context Protocol and the open Agent2Agent protocol to recruit agents from third-party platforms into what Virtana describes as an agentic war room. The aim is to move beyond isolated detection and diagnosis towards joint investigation, remediation and confirmation that a service has recovered.

Virtana says the platform draws on more than 25,000 operational signals across applications, infrastructure, cloud and AI environments. It combines those signals with its System Dependency Graph to map relationships between systems, trace root causes and assess business impact.

In practice, an incident could begin with a third-party agent spotting a problem in an application. That agent could then call Virtana's root cause analysis agent, which would investigate the issue using system-wide operational data, identify a bottleneck linked to a software deployment, and work with other agents to carry out corrective action.

The system is built around staged autonomy. Companies can begin with a recommendation model, in which agents suggest fixes for engineers to implement, then move to approval-based remediation, and later allow agents to act independently on defined classes of incidents.

All actions remain subject to enterprise policy controls, which determine which agents can participate, what they may do, and when human approval is needed. Virtana says every action is auditable, including records of agent activity, token consumption and operating cost.

Paul Appleby, Chief Executive Officer of Virtana, framed the launch as part of a wider shift in how enterprises manage IT operations.

“The future of autonomous IT belongs to enterprises with the highest Agentic IQ, the collective intelligence of AI agents that understand the entire business, reason across complex systems, and work together to solve problems no single agent could solve alone,” said Appleby.

“We're bringing agents from across the enterprise together with the intelligence and coordination to tackle the most complex IT challenges at machine speed. That's how enterprises move toward truly autonomous operations at scale,” he said.

War room model

Virtana argues that conventional IT war rooms still depend heavily on engineers gathering evidence from separate tools and coordinating actions manually. That process can be slow when outages or performance issues cut across infrastructure, code, security controls and service management systems.

Its approach allows specialised agents from multiple systems to assemble around a shared problem, exchange findings and decide on next steps in milliseconds. Virtana positions its software as the orchestration layer that gives those agents a shared operational view.

Amitkumar Rathi, Chief Product Officer of Virtana, contrasted that model with existing incident response workflows.

“Traditional IT war rooms take hours to assemble teams, diagnose problems and coordinate fixes. Agentic war rooms assemble specialized AI agents that share intelligence, resolve issues and disband in milliseconds,” said Rathi.

“MCP gives agents enterprise-wide intelligence, while A2A enables them to discover, collaborate and act together as a coordinated, governed workforce,” he said.

Broader backdrop

The release reflects a broader issue emerging in large organisations as AI agents proliferate across enterprise software stacks. Research cited by Virtana from Salesforce found that the average enterprise runs 12 AI agents, while half operate in silos.

That fragmentation creates a practical problem for IT teams. An agent embedded in a cloud management tool may have visibility into infrastructure behaviour, while another in a software development platform may understand recent code changes, and a security agent may track policy or threat issues. If they cannot work together, engineers must still bridge the gaps.

Virtana is seeking to address that by relying on open protocols rather than requiring companies to replace existing tools. Enterprises can bring in agents from the platforms they already use, while Virtana provides system-level operational intelligence and the coordination framework.

The product is available now to select customers. General availability is planned for the first quarter of 2027.

Enterprises can progressively expand agent autonomy within defined guardrails, starting with recommendations, advancing to approval-based remediation and ultimately allowing autonomous resolution for selected incidents.