Building a zero-trust network for AI agents: mutual authentication, private-by-default routing, and why it matters
Zero trust for AI agents requires mutual authentication, cryptographic identities, and private-by-default routing rather than reliance on traditional network security like VPNs or TLS alone. Current agent frameworks often assume trusted perimeters, but real-world scalability and security demand persistent identities and direct, encrypted peer-to-peer connections. Technologies like cryptographic addressing, STUN-based NAT traversal, and encrypted relays enable secure, scalable agent communication without exposing public endpoints.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3893832) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Artemii Amelin Posted on Apr 30 Building a zero-trust network for AI agents: mutual authentication, private-by-default routing, and why it matters #security #networking #ai #programming The phrase "zero trust" gets applied to a lot of things that aren't really zero trust. In most agent infrastructure today, "secure" means "behind a VPN" or "talking over TLS." That's transport security. It's not the same thing.
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