TestMachine
The Future Of Web3 Security
Powered by Artificial Intelligence
Token Custody
TestMachine provides comprehensive smart contract security analysis specifically designed for token custody operations. Our system characterizes token behavior, assesses risks, monitors compliance, and ensures safe asset custody for exchanges, custodians, and DeFi platforms.
Risk Detection
Rapidly identify critical custody risks including blacklisting, confiscation, and upgrade capabilities in verified and unverified contracts.
Liquidity Monitoring
Track pool dynamics and dependency structures to detect emerging liquidity risks across the lifetime of your holdings.
Real-time Analysis
Get updates to your risk posture pushed to you in real-time as contract functionality and network conditions evolve, without having to monitor the assets yourself.
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Azimuth
Azimuth leverages LLMs and reinforcement learning to analyze smart contracts. It is designed to augment and accelerate the conventional smart contract audit—describing the structure and intent of the target system, uncovering operational vulnerabilities, and giving auditors deeper coverage in less time.
System Overview
TestMachine's Predator system operates through three interconnected components that work together to provide comprehensive token custody risk assessment & Azimuth smart contract auditing.
Simulation
High-fidelity multi-contract EVM execution environment that models token contract behavior under various network conditions. Simulates transaction scenarios, upgrade paths, and edge cases to identify potential custody risks and vulnerabilities.
Control Module
AI agents drive the simulation to rapidly identify behaviors and vulnerabilities, even in complex functions, contracts, and network callgraphs.
Analysis Engine
Behavioral pattern recognition that combines hardcoded rules and AI-guided goals to process simulation results and live contract data. Identifies custody risks, categorizes threat severity, and generates actionable intelligence for risk management decisions.