Cohesity has announced Cohesity Maestro, a major platform expansion that brings its full Data Cloud ecosystem into AI-native environments through the Model Context Protocol (MCP). The launch marks a shift toward a “headless” cyber resilience architecture, enabling enterprises to access data protection, telemetry, and recovery capabilities directly through AI agents without using traditional interfaces.
The move positions Cohesity as a key player in redefining enterprise data security operations, where AI systems can now interact with resilience workflows natively across leading model ecosystems.
Cohesity is redefining enterprise data protection with the introduction of a headless architecture. With Cohesity Maestro, organizations can now execute cyber resilience operations—such as backups, restores, and threat detection—through external AI agents rather than a dedicated platform interface.
This approach mirrors broader enterprise software trends where core systems become accessible through APIs and AI agents, enabling workflows to operate inside existing tools rather than separate dashboards.
Maestro is built on the open Model Context Protocol (MCP), allowing native integration with major AI ecosystems, including Claude, ChatGPT, and Gemini.
This eliminates the need for custom connectors or proprietary integrations, enabling enterprises to use their existing AI platforms to interact directly with Cohesity’s data protection capabilities.
The goal is to make cyber resilience actions accessible wherever enterprise AI workflows already operate.
Traditionally, data protection and cyber recovery require dedicated interfaces and manual workflows. Cohesity’s new model shifts this paradigm by allowing AI agents to execute operational tasks such as:
This enables IT and security teams to query system-wide risks, analyze recent changes, and trigger recovery actions directly from AI interfaces they already use.
Maestro builds on previous AI capabilities introduced by Cohesity, including:
Together, these tools form a broader AI-driven resilience framework designed to automate and accelerate enterprise data protection operations.
A key aspect of Maestro is its “open-by-design” architecture. While it integrates with external AI platforms, it retains enterprise-grade governance through role-based access control, authentication, and audit logging.
This ensures that while AI agents can initiate actions, all operations remain compliant with organizational security policies and access frameworks.
According to Sanjay Poonen, CEO of Cohesity:
“No new console. No workflow changes. Just the power of Cohesity, wherever their AI already lives. This is what headless data protection looks like — and Cohesity is the first in our industry to deliver it.”
The statement underscores the company’s strategy of embedding cyber resilience capabilities directly into enterprise AI ecosystems rather than requiring separate operational tools.
Maestro introduces a long-term vision of autonomous enterprise resilience, where AI systems can detect issues, determine responses, and execute recovery actions with minimal human intervention.
This reflects a broader industry shift toward agentic AI systems capable of managing complex IT and security operations end-to-end.
Cohesity Copilot and RecoveryAgent are currently available, along with MCP support for Cohesity Gaia. Full rollout of Cohesity Maestro and expanded agent capabilities is expected later in the year.
The platform is already used by large global enterprises and supported by major technology partners, reinforcing its position in the AI-driven data security market.
Cohesity protects and secures enterprise data through AI-powered data management and cyber resilience solutions. The company supports organizations in strengthening data protection, accelerating recovery, and improving operational efficiency through Zero Trust architecture and advanced AI/ML capabilities.
The launch of Cohesity Maestro represents a structural shift in enterprise cyber resilience, moving from interface-driven tools to AI-native, agent-powered systems. As enterprises adopt increasingly autonomous AI workflows, data security platforms are evolving into programmable infrastructure that integrates directly into the AI ecosystems already driving modern business operations.
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