Mastyf.ai
🚀 From MCP Guardian to Mastyf.ai
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What started as an open-source experiment in securing and governing AI agents through the Model Context Protocol (MCP) has evolved into something much bigger.
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Today, I'm excited to share a glimpse of that journey.
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The video below showcases MCP Guardian — the project that laid the foundation for what is now Mastyf.ai: a security-first platform for AI agent governance, runtime policy enforcement, observability, approval workflows, and enterprise trust.
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As AI agents gain access to tools, data sources, APIs, and autonomous workflows, the challenge is no longer just building agents—it's governing them safely, transparently, and at scale.
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That's the problem we're working on at Mastyf.ai.
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🔹 Runtime governance for AI agents
🔹 Policy enforcement and approval workflows
🔹 Security controls for MCP ecosystems
🔹 Auditability, observability, and compliance readiness
🔹 Enterprise-grade AI control planes
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We would love feedback from developers, security researchers, platform engineers, AI engineers, and enterprise architects.
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Try it. Break it. Stress-test it. Tell us what we're missing.
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Special thanks to everyone who contributed ideas, bug reports, feature requests, testing, and feedback along the way. Building secure AI infrastructure is a community effort, and we're just getting started.
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If you're interested in AI security, agent governance, MCP, enterprise AI infrastructure, or would like to collaborate, comment below or reach out directly.
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