Introducing Sentinel: The Decision Firewall for AI Agents
Today we launch Sentinel, a new approach to AI safety that protects the behavioral layer of autonomous agents. Learn why decision-layer protection is the missing piece in AI security.
Introducing Sentinel: The Decision Firewall for AI Agents
Today, we're excited to announce the public launch of Sentinel, the Decision Firewall for AI Agents.
The Problem
AI agents are becoming increasingly autonomous. They can browse the web, execute code, manage databases, control robots, and interact with financial systems. But as their capabilities grow, so do the risks.
Current security solutions focus on:
But they miss the most critical layer: **behavioral protection**.
What is a Decision Firewall?
A Decision Firewall validates AI decisions *before* they become actions. Just as a network firewall inspects packets before allowing them through, Sentinel inspects AI decisions before allowing execution.
When an AI agent decides to:
...Sentinel evaluates whether that decision should be allowed.
The THSP Protocol
At the heart of Sentinel is the THSP Protocol, four gates that every AI decision must pass:
All four gates must pass for an action to proceed. The absence of harm is not sufficient; there must be genuine purpose.
Why Now?
The risks are real and growing:
We built Sentinel because we believe practical AI alignment shouldn't be a luxury: it should be accessible to every developer building AI systems.
Get Started
The future of AI is autonomous. Let's make it safe.
The Sentinel Team
More from the Blog
Understanding the THSP Protocol: A Deep Dive
A technical exploration of the Truth-Harm-Scope-Purpose protocol that powers Sentinel's decision validation. Learn how each gate works and why they must all pass.
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LLM safety and AI agent security are related but distinct challenges. Here's why solutions designed for chatbots fall short when applied to autonomous agents.