Virtana enables cross-vendor AI agent collaboration for IT incident management
Virtana has introduced Agentic Observability Enterprise Management, a capability that allows its AI agents to collaborate with agents from other vendors during IT incidents. The feature is designed to address gaps in enterprise AI adoption by enabling cross-vendor agent interaction, particularly during outages that span multiple systems.
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TABLE OF CONTENTS
What Agentic Observability Enterprise Management does
Virtana’s platform now includes Agentic Observability Enterprise Management, which allows its AI agents to invite agents from other vendors into investigations when an IT incident occurs. This capability is built to address a common limitation in enterprise AI: most agents are tied to a single vendor’s product, such as an IT service management system, and cannot see the full scope of an outage when it spans multiple systems.
The new feature leverages the Model Context Protocol (MCP) or the open Agent2Agent protocol, enabling Virtana’s agents to collaborate with any agent that supports these standards. This includes agents already bundled with software a company owns, reducing the need for additional integrations.
How the technology works
Virtana’s AI agents can autonomously detect issues and invite other vendors’ agents into an investigation. The company’s System-Aware MCP Server, released in February, provides access to over 25,000 real-time metrics, while its System Dependency Graph offers a shared view of application dependencies. These tools allow participating agents to access critical data and context during an incident.
Agent autonomy is limited to incident types predefined by the customer, ensuring control over which actions are automated. Companies can also opt for manual oversight, where engineers review and approve fixes recommended by the agents. Policy controls determine which external agents can participate and the resources they can consume, with all actions logged for audit purposes.
Funding and company background
Virtana, originally known as Virtual Instruments until its 2019 rebrand, focuses on IT infrastructure monitoring. The company has raised $73 million, with investors including Atalaya Capital Management LP and Benhamou Global Ventures. The funding round, completed in 2022, supports Virtana’s expansion in AI-driven observability tools.
Why this matters for enterprise AI adoption
Earlier LazyFounder reporting highlighted challenges in AI adoption, including a lack of financial payoff for most companies outside the tech giants and a "valley of despair" where inflated expectations collide with modest returns. Virtana’s approach—focusing on cross-vendor collaboration—addresses a specific pain point: the fragmentation of AI agents across disparate systems. By enabling agents to work together, the company aims to improve incident resolution speed and accuracy, which could help enterprises realize tangible value from their AI investments.
This move also aligns with broader industry efforts, such as IBM and CoreWeave’s collaboration on AI agent workload controls. Unlike those infrastructure-focused initiatives, Virtana’s solution targets operational workflows, offering a different path to improving AI’s practical impact.
What this means
Lazyfounder analysis — our interpretation, not reported fact.
Virtana’s launch signals a shift in how AI agents could operate in enterprise environments. Most AI tools today function in isolation, limiting their effectiveness during multi-system outages. By enabling cross-vendor collaboration, Virtana is addressing a critical gap: the need for agents to share context and act collectively when incidents span multiple platforms.
For founders and operators, this development underscores the importance of interoperability in AI-driven tools. Companies investing in AI for IT operations may need to evaluate whether their current tools can participate in such ecosystems—or risk being left with agents that cannot see the full picture during an outage. Virtana’s model also highlights the growing role of protocols like MCP and Agent2Agent in standardizing how AI agents interact, which could become a key consideration for future product development.
Related on Lazyfounder
Sources
- SiliconANGLE · 2026-10-28
Virtana lets its AI agents pull in agents from other vendors to work IT incidents
This story is an original summary drafted with AI by Lazyfounder from the reporting listed above and checked by automated validation. Facts are attributed to their original publishers; sections marked as analysis are Lazyfounder's. Where a source is in another language, facts were machine-translated and quotations are reported, not reproduced. Read the original coverage via the links, and see our AI policy and corrections policy.
About the author
Editor, Lazyfounder
Tarun Mottlia edits LazyFounders, covering Indian startups, funding rounds, AI and product launches. Every story on the site is AI-assisted and checked against its cited sources before publication.
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