Runtime Fence AI Security
✅ Working System
17/17 Tests Passing
Patent Pending
Production Code

The First Complete System
To Protect Crypto Wallets From AI Trading Agents

The only DeFi-native safety layer with on-chain enforcement, behavioral analysis, and DeFi threat detection. Not just theory—working code ready to deploy. Fully documented in the published book available on Amazon.

17/17
Tests Passing
4
Detection Layers
100%
Open Source
Deployable
Smart Contracts • Solidity
Python API • FastAPI
Dashboard • Real-time
CCIE #14019 • 25 Years

The Only Complete System For This Problem

While others secure AI agents in general, Runtime Fence is the only solution that protects crypto wallets from AI trading agent failures with on-chain enforcement and DeFi-specific threat detection.

Smart Contracts

Solidity • OpenZeppelin • Tested

  • On-chain allowance limits (unoverrideable)
  • Kill switch for emergency stops
  • Blacklist system for scam addresses
  • 17/17 tests passing

Python Middleware

FastAPI • Async • ML Detection

  • 4 detection layers: Honeypot, Flashloan, ML, Behavioral
  • Risk scoring (0-100 scale) with weighted factors
  • REST API for integration
  • Real-time transaction monitoring

First-to-Market Solution

Runtime Fence is the first and only complete system designed specifically for protecting crypto wallets from AI trading agent failures. Patent Pending technology. All code is tested, documented, and ready for deployment. The book provides step-by-step instructions.

Learn How It Works - Free Chapter

"The $4.6M Question" - How AI researchers discovered agents could exploit millions in DeFi vulnerabilities in under 60 minutes. Plus: See the Runtime Fence architecture that prevents it.

Download Free Chapter

No email required • 8 pages • PDF

See Runtime Fence in Action

Pick a scenario and watch how Runtime Fence evaluates transactions before they hit the chain.

transaction_preview.json
Select a scenario to preview the transaction

Runtime Fence Decision

Runtime Fence will show whether the transaction is ALLOWED or BLOCKED, with risk score and reasoning.

Demo only – simplified mock. Production system uses on-chain data, behavioral analysis, and ML detectors.

First-to-Market
Patent Pending

Why Runtime Fence is The Only Solution

While others secure AI agents in general, Runtime Fence is the only complete system designed specifically for protecting crypto wallets from AI trading agent failures.

DeFi-Native

Built specifically for crypto trading. Understands DeFi threats (honeypots, flash loans, MEV) that general AI security tools miss.

Others: General AI security, not crypto-specific

On-Chain Enforcement

Smart contract layer that cannot be bypassed. Deterministic rules enforced at blockchain level, not just off-chain checks.

Others: Mostly off-chain, can be bypassed

AI Agent-Aware

Behavioral analysis specific to AI agent patterns. Detects AI-specific failures (hallucinations, prompt injection) that generic security misses.

Others: Generic security, not AI-agent specific

Complete System

Not just a framework—a complete working system: smart contracts, Python API, dashboard. Ready to deploy today.

Others: Frameworks or protocols, not complete systems

The Bottom Line

Runtime Fence is the first and only complete system designed specifically for protecting crypto wallets from AI trading agent failures. There is no direct competitor solving this exact problem.

✅ DeFi-Native ✅ On-Chain Enforcement ✅ AI Agent-Aware ✅ Complete System ✅ Open Source ✅ Patent Pending

Why Runtime Fence is Unique

The only DeFi-native solution with on-chain enforcement. While others secure AI agents in general, Runtime Fence protects crypto wallets specifically.

Containment, Not Prevention

Accept that AI agents will make mistakes. Runtime Fence limits the blast radius with deterministic guardrails between agent and wallet.

Agent-Agnostic Design

Works with any AI stack. Hard limits enforced at the blockchain level that no model can override, regardless of intelligence.

DeFi-Native Threats

Built for flash loans, MEV, honeypots, and scam tokens. Understands real DeFi attack patterns, not just generic fraud signals.

Working Demo Code

Educational examples showing how to implement Runtime Fence safety controls

Runtime Fence Demo Repository

Educational code examples for implementing safety controls

Smart Contract Examples

  • • Transaction limit enforcement
  • • Velocity checks
  • • Token allowlist patterns

Python Middleware

  • • Pre-execution validation
  • • Risk scoring examples
  • • Monitoring patterns
View Demo Code on GitHub

Demo code gets you 70% there. The book contains the full production architecture.

Published on Amazon

The First Comprehensive Guide to AI Agent Safety

"AI Agent Safety: The Silent Crisis in Crypto Trading"

Now Available on Amazon - The definitive guide to protecting crypto wallets from AI trading agent failures

📋 Patent Pending - Application #63/940,202

9
Chapters
33k+
Words
25
Years Experience
CCIE
#14019

What's Inside

The Four Horsemen of AI Agent Failure
Runtime Fence Architecture & Patterns
Smart Contract Implementation
Python Middleware Development
Real-World Case Studies
The 18-Month Market Timeline

Learn More in the Books

Two comprehensive guides on AI agent security from CCIE #14019

AI Agent Safety

The Silent Crisis in Crypto Trading

Why AI trading agents fail catastrophically and how Runtime Fence prevents $4.6M exploits. The foundational guide to understanding the problem.

Live on Amazon $9.99
View on Amazon
NEW RELEASE

The AI Agent Flight Recorder

Forensics-Grade Governance for Autonomous Systems

Enterprise implementation guide for CISOs. Build governance that passes SOC2 audits and satisfies GDPR Article 22. Production code, compliance templates, framework integrations.

Live on Amazon $9.99
View on Amazon

Start with AI Agent Safety to understand the problem, then use The Flight Recorder to build the solution.

About the Author

David Cooper

David Cooper

CCIE #14019 • Creator of Runtime Fence

Author of "AI Agent Safety: The Silent Crisis in Crypto Trading"

David Cooper is a CCIE #14019 with 25 years of cybersecurity experience and a United States Air Force veteran. He pioneered the Runtime Fence concept by applying defense-in-depth principles from network security to autonomous AI agent containment. He is the author of "AI Agent Safety: The Silent Crisis in Crypto Trading," the first comprehensive guide to protecting crypto wallets from AI trading agent failures, published on Amazon.