Orca Enables Universal GenAI Access with Model Context Protocol

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Orca Security announced it is the first cloud security platform to support the Model Context Protocol (MCP), developed by Anthropic. With the introduction of the Orca MCP Server, security teams can now instantly access rich cloud telemetry from the Orca Unified Data Model—without needing to interact directly with the Orca Platform. This advancement enables users to leverage Claude and other GenAI chatbots to quickly and easily identify cloud security risks and compliance issues.

Orca Security announced that Orca is the first cloud security platform to support the Model Context Protocol (MCP), created by Anthropic. Through the new Orca MCP Server, security teams can now gain instant access to deep cloud telemetry from the Orca Unified Data Model without directly engaging in the Orca Platform. This makes it easier than ever to use Claude and any other GenAI chatbot to quickly and easily understand cloud security risks and compliance gaps.

Since the advent of GenAI, organizations have sought to increase efficiency by using their private data as context for LLM training and prompting. However, this requires the correct context to work, and most AI models do not have a standard method of interfacing with outside applications and data sources. Anthropic recently open-sourced the Model Context Protocol to give security teams and developers a standard for securely connecting data and services from their apps to Claude and other chatbots to ask questions, create summaries, and better understand their data.

Through its patented SideScanning and Unified Data Model, Orca provides the broadest and deepest cloud telemetry available from any cloud security platform. Orca created the Orca MCP Server so security teams can securely connect data from their Orca environment with Claude and other chatbots locally on desktop apps, uncovering key details about their cloud environments and increasing visibility in a manner that aligns with their workflow.

“The promise of GenAI was quick, detailed answers to simple, natural language queries. This reality has largely eluded security professionals due to a lack of integrations with popular AI tooling” said Gil Geron, CEO and Co-founder, Orca Security. “Security teams are always under pressure. They need answers and they don’t have time to sift through reams of data. Universal access to Orca cloud security telemetry through any AI chatbot gives security professionals the deep cloud security visibility that would previously have only been accessible as a result of intensive, manual investigation.”

Cloud security insights have always been available to those who know how to look for them, but uncovering risk has typically meant learning complicated query languages, juggling multiple interfaces, and sifting through volumes of cloud security and compliance data. Even for seasoned security professionals, the process of assessing cloud security risk is time-consuming, and getting the quick answers required by leadership is challenging. With the Orca MCP, security professionals can now use GenAI to investigate their cloud environment, receiving detailed risk assessments quickly and easily, improving security and reducing human time spent.

The Orca MCP Server further enhances AI capabilities, such as Orca’s AI-Driven Search capabilities, which enable teams to better understand their cloud by asking questions in plain language, with more than 50 languages supported. The Orca MCP Server is available today.

To learn more about how Orca Security has enabled universal GenAI access with Model Context Protocol, visit the website here.

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Taylor Graham, marketing grad with an inner nature to be a perpetual researchist, currently all things IT. Personally and professionally, Taylor is one to know with her tenacity and encouraging spirit. When not working you can find her spending time with friends and family.