How We Support Enterprise Adoption of MCP, A2A, and AI Integrations
At Riscosity, we use our own software. It’s the best way to know what our customers experience. With all the announcements and excitement around new ways to extend AI functionality, we found the best way to understand the hype was to build our own MCP server. The outcome of our experiment was a success and we're happy to announce that now any of our customers can use our Model Context Protocol (MCP) server to query their Riscosity data!
Riscosity is already ready
We’ve been hearing (and using) a lot of acronyms lately. MCP, A2A, ACP… it’s easy to fall behind. Fortunately for our customers, all of these new standards are API based!
Since Riscosity is built to discover, monitor, and govern all HTTP-based data flows, it requires no extra integration or setup to handle MCP, A2A, or ACP traffic. Enterprises leveraging MCP, or any new AI capabilities can immediately benefit from Riscosity’s API discovery, data classification, and governance engine.
Why Enterprises benefit from Riscosity for MCP and AI
Our customers ask for the following:
- Strong controls on outbound data from their internal AI tools
- Ability to prevent sensitive internal data from inadvertently leaving their enterprise environment
- An understanding of where their data is ending up, not just digitally but also physically in the world
We built our own MCP server as an exercise to validate that Riscosity is positioned to help enterprises securely adopt these AI standards, verifying firsthand that our platform effectively monitors and protects data flows. As a bonus, our customers can use it to build new AI workflows to supercharge their security and compliance teams.
If you’d like to learn more, please feel free to book time with our team!