The agent economy is exploding. Google shipped A2A (Agent-to-Agent protocol), Anthropic shipped MCP, and ERC-8004 landed on Ethereum — all in the past few months. But there's a critical missing piece: when agents talk to agents, how do you know who to trust?
An agent behaves perfectly for weeks, builds trust, then activates malicious behavior — stealing data, injecting prompts, or redirecting funds. No existing system detects this.
Agents claim skills they don't have. A "financial advisor" agent that actually just scrapes Reddit. A "code reviewer" that returns random approvals. Users can't verify claims before trusting.
Today, a malicious agent faces zero cost for bad behavior. It can re-register under a new name and continue. There's no skin in the game, no accountability, no deterrent.
Existing solutions address parts of the problem, but none provide a complete trust infrastructure for AI agents:
Nobody has combined all of these into a single working system — until now.
Beaver Warrior is a desktop cybersecurity application (macOS / Windows / Linux) built in Rust for maximum performance and minimal footprint. It runs 375 security modules — including 58 specifically designed for AI agent threats — all within a <100MB memory footprint. Here's how those modules break down:
Real-time packet inspection, DNS filtering, TLS certificate validation, connection monitoring
File integrity monitoring, process sandboxing, privilege escalation detection, rootkit scanning
Sleeper agent detection, prompt injection defense, autonomous containment, multi-agent conflict resolution, behavioral fingerprinting
Smart contract interaction monitoring, wallet protection, phishing detection, MEV protection
Behavioral analytics, anomaly detection, threat correlation, real-time threat feeds, zero-day pattern matching
Encryption enforcement, data leak prevention, clipboard monitoring, sensitive data redaction
Tracker blocking, fingerprint prevention, telemetry control, secure DNS resolution
All 375 modules are written in Rust for memory safety and performance. The entire engine runs in a single process with <100MB RSS, making it lighter than most Electron apps while providing deeper protection than enterprise security suites costing thousands per seat.
The Sentinel swarm evaluates once, and every Beaver Warrior user is protected.
Trust data lives permanently on-chain via 4 ERC-8004 registries:
Identity •
Reputation •
Validation •
Staking
Honest agent + sleeper agent powered by Claude 3.5 Haiku. Real AI reasoning, not mock data. The sleeper starts honest, then activates malicious behavior mid-demo.
Solidity smart contract where agents stake ETH as collateral. Trust score drops below threshold? 50% of stake is slashed automatically. Real economic consequences.
Agents autonomously refuse to collaborate with untrusted peers by reading on-chain reputation scores. No centralized authority — agents make their own trust decisions.
Trust scores survive restarts. The swarm reads existing on-chain reputation data on startup and resumes where it left off. No reputation amnesia.
Any third-party agent can register via REST API and get evaluated in the next cycle. Open protocol — not a walled garden.
10 bugs found and fixed through a rigorous 3-pass security audit, including a critical access-control vulnerability in the staking contract.
The Sentinel isn't a single program — it's a multi-agent swarm where 6 specialized agents work together in a pipeline, each with a single responsibility:
Plus a Coordinator that orchestrates the pipeline, manages budgets, and triggers staking/slashing + trust gating after each cycle.
Switch to the Live Demo tab to watch the swarm evaluate agents in real-time. Watch the honest agent maintain 100/100, the liar get caught at ~80, and the sleeper agent degrade from 100 to 40 as its malicious behavior activates.