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MCP Security Model
I've always believed that security in AI systems isn't just about keeping the bad guys out; it's about ensuring that the intelligence itself can be trusted.
I've been thinking about security for most of my career, but AI security? That's a whole different beast. Traditional security models were designed for predictable systems with well-defined boundaries and clear chains of responsibility. AI systems, especially distributed ones such as those built with MCP, challenge every assumption we've made about how security should work.
The first time I had to secure an MCP deployment, I started with the usual playbook: authentication, authorization, encryption, and audit logs. Standard stuff. But as I dug deeper, I realized that ...
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