//The Manifesto

The Builder’s Approach
to AI Safety.

Why we believe security should be enforced at the infrastructure level — silently, instantly, and accurately.

Existing AI compliance tools are broken. They fall into two categories:

  • Static Checklists: Documents that describe what you should do, but don't actually protect the application in production.
  • Slow Software Layers: Python-based SDKs that add hundreds of milliseconds of latency, ruining the user experience and slowing down the engineering cycle.

Infrastructure-Grade Safety

We built TalosRed from the ground up using Golang. By sitting on the wire as a proxy, we can enforce security and governance rules with minimal latency overhead. This isn't just a performance optimization; it's a philosophy. Security that ruins the UX will eventually be bypassed or disabled. Security that is invisible becomes part of the platform.

Domain-Aware Intelligence

Generic "AI Safety" filters fail when they meet specialized industries. A healthcare AI needs different rules than a financial auditor. TalosRed uses proprietary internal AI adapters to grade outputs with the nuanced understanding of your specific domain — without you ever having to train a custom model.

Join the Movement

Ready to build the definitive layer of trust for your enterprise AI?

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