Key points
- Monad introduced an AI-powered security system called Monad Bugfinder to improve the detection of vulnerabilities in smart contracts.
- The system acts as an automated research pipeline, separating discovery from validation to reduce false positives and improve audit accuracy.
- The move aligns with Monad’s rapid growth, with the network exceeding $400 million+ TVL.
Monad:- With the rise of proxy AI, there is hardly any cryptocurrency company today that is not evaluating or experimenting with AI tools and their broader potential.
An insightful post on how we use AI to secure Monad: https://t.co/pWe3ZEUizR
– Keone Hoon (@keoneHD) May 26, 2026
Monad offers AI-assisted error detection
Antonio Viggiano, security engineer at Monad, recently shared insights into the “Monad Bugfinder.” Designed within a month by the team, it is an in-house AI-assisted vulnerability detection system. It can improve smart contract auditing and fault detection workflows for the network.
According to Monad’s Bugfinder Official blogthe AI system acts more like an automated security research pipeline than a simple review code for chatbots.
The framework generates a large number of potential “leads” for exploitation. It then filters out false positives during the validation phases, narrowing down the results to verified vulnerabilities before issuing a final bug report.
Viggiano claimed that the system could reduce the effective cost of detecting confirmed vulnerabilities to approximately $100 per verified bug. The goal, he explained, is to significantly reduce the time and operational cost associated with manual smart contract reviews.
The system is designed to separate “discovery” from “validation”.
In a LinkedIn post, he also explained the lessons learned from the process. Viggiano stressed the importance of separating discovery from validation. It allows AI agents to first robustly scan for suspicious smart contract behavior and then independently verify whether the issue is indeed exploitable. This reduces one of the biggest problems with automated security tools: false positives.
Keone Hon, co-founder of Monad, hyped the development on X, calling it “an insightful post on how we use AI to secure Monad.”
Monad TVL exceeds $400 million
Monad’s narrative of AI security comes at a time when blockchain is seeing strong growth in the ecosystem as well.
The network surpassed the $400 million TVL mark within approximately six months of launch. This makes it one of the fastest growing startup ecosystems in the current cycle.
Data from Devilama shows that Monad now holds more than $414 million in stablecoin liquidity, while combined assets on the network are approaching $630 million.
A large part of Monad’s appeal lies in its attempt to combine Ethereum’s compatibility with much higher throughput.
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The network claims performance of up to 10,000 transactions per second (TPS). Since its launch, the blockchain has reportedly processed more than 140 million transactions. Over the past month, Monad’s DeFi TVL has also grown by approximately +28.4% from $333 million to $427.7 million.
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