Cohesity embeds data security into AI workflows

Cohesity has launched Maestro, a new approach to data protection that embeds recovery, telemetry and security intelligence directly into the AI tools enterprises are already using.

Built on the open Model Context Protocol (MCP), the platform is designed to work with assistants such as Anthropic Claude, OpenAI ChatGPT and Google Gemini without forcing users into a separate console.

“Cohesity Maestro gives those platforms direct access to our data protection capabilities. 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.” said Sanjay Poonen (top), CEO of Cohesity.

The headless architecture for cyber resilience allows IT and security teams to trigger restores, check job status, generate reports, orchestrate recovery groups and hunt threats from within existing AI workflows.

Its goal is to reduce friction for enterprises that are already building custom AI environments and want security operations to fit inside them rather than sit alongside them.

Maestro also folds in the company’s Cohesity Gaia enterprise search and knowledge engine that uses a metadata catalogue and NVIDIA enterprise AI to surface insights from protected data.

Alongside Gaia, Cohesity Copilot and RecoveryAgent are now available, while the full Maestro MCP interface and additional agents are due later this year.

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