The Decision Firewall
for AI Agents
Sentinel protects the behavioral layer of autonomous AI. When an agent decides to transfer funds, share data, or control a robot, we validate that decision before it becomes action.
The Problem We Solve
AI agents are increasingly autonomous, making decisions with real-world consequences. But most safety solutions focus on the wrong layer.
of AI agents can be hacked via memory injection
Princeton CrAIBench, 2025
lost to AI-related exploits
Chainalysis, 2025
of CISOs concerned about AI agent risks
Obsidian Security Survey, 2025
of organizations prepared for AI threats
Industry Report, 2025
The Three Layers of AI Security
We cover all three layers: LLMs, AI Agents, and Robotics. No one else does.
The THSP Protocol
Every AI decision passes through four gates. All must pass for an action to proceed. The absence of harm is not sufficient; there must be genuine purpose.
Truth
"Is this factually correct?"
Validates factual accuracy and prevents hallucinations and misinformation.
Harm
"Could this cause damage?"
Assesses potential for physical, psychological, financial, or reputational harm.
Scope
"Is this within limits?"
Ensures actions stay within authorized boundaries and access controls.
Purpose
"Does this serve genuine benefit?"
Requires legitimate purpose; absence of harm is not sufficient.
Our Principles
Built on the foundations of practical AI safety, open development, and community governance.
Open Source
Core protocol is MIT licensed. Audit our code, contribute improvements, fork freely.
Community Governed
$SENTINEL token holders vote on protocol changes, features, and partnerships.
Security First
Zero-knowledge architecture. We can't access your API keys or agent data.
Model Agnostic
Works with any LLM: OpenAI, Anthropic, open-source models, and more.
Developer Experience
Simple APIs, visual builder, extensive docs. Deploy safe agents in minutes.
Practical Alignment
Real safety for real applications. Not theoretical, tested on production workloads.
Built by the Sentinel Team
We're a team of AI safety researchers, engineers, and security experts united by the belief that AI alignment must be practical, testable, and accessible to all developers.
Ready to Build Safer AI?
Join thousands of developers building the next generation of safe, aligned AI agents.