Monad, the Layer-1 blockchain that went live in late 2024, has rolled out an AI-assisted bug-hunting system it calls Monad Bugfinder. The tool is designed to automatically scan for vulnerabilities in the network's code — a job that's traditionally fallen to human auditors and bounty hunters. The deployment comes as Monad's total value locked crosses the $400 million mark, signaling growing activity on the chain.
The Bugfinder system
Monad Bugfinder is an AI-assisted tool, meaning it doesn't replace human review but augments it. The system uses machine learning to comb through smart contracts and flag potential exploits before they can be used in an attack. Monad hasn't released technical specifics about the model or its training data, but the move fits a pattern: crypto companies have been increasingly experimenting with agentic AI — systems that can act autonomously to find flaws, execute trades, or manage risk.
Why now
The timing isn't accidental. Monad's mainnet launched in November 2024, and the network has been steadily attracting liquidity. With TVL now above $400 million, the incentive for hackers to find bugs is growing. An automated bug finder that works around the clock could catch issues faster than a manual audit cycle. That's especially important for a relatively young chain where trust is still being built.
AI in crypto security
Monad isn't alone here. A handful of other projects have started using AI for security tasks — scanning code, monitoring on-chain activity, even automating responses to suspicious transactions. The broader trend is toward what some call agentic AI, where models don't just answer questions but take actions. Bugfinding is a natural fit: the job is repetitive, pattern-based, and requires constant vigilance. Whether AI can match the nuance of an experienced human auditor is still debated, but the experiments are multiplying.
Monad Bugfinder is live now on the network. No word yet on whether the tool has already caught any critical bugs, but the team is expected to share more details in a technical post later this week.
