Monad Deploys AI-Powered Bug Hunting System as TVL Crosses $400

Monad Introduces AI-Powered Bug


Key Highlights

  • Monad has introduced an AI-assisted security system called Monad Bugfinder to improve smart contract vulnerability detection.
  • 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, as the network crosses $400M+ TVL.

Monad:- Riding on the rise of agentic AI, there is hardly any crypto company today that is not evaluating or experimenting with AI tools and their broader potential.

Monad Rolls Out AI-Assisted Bug Detection

Antonio Viggiano, a Security Engineer at Monad, recently shared insights into “Monad Bugfinder”. Designed in a month by the team, it’s an internal AI-assisted vulnerability detection system. It can improve smart contract auditing and bug discovery workflows for the network.

According to Monad’s Bugfinder official blog, the AI system works more like an automated security research pipeline than a simple chatbot reviewing code.

The framework generates a large number of potential exploit “leads”. It then filters out false positives through validation stages, and narrows findings into verified vulnerabilities before producing a final bug report.

Monad Security Engineer  Antonio Viggiano on the AI Bugfinder System
Monad Security Engineer Antonio Viggiano on the AI Bugfinder System | Source: Linkedin Post

Viggiano claimed the system could lower the effective cost of discovering confirmed vulnerabilities to nearly $100 per verified bug. The goal, he explained, is to dramatically 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 further outlined lessons learned from the process. Viggiano emphasized the importance of separating discovery from validation. It allows AI agents to first scan aggressively for suspicious smart contract behavior and then independently verify whether the issue is actually exploitable. This reduces one of the biggest problems in automated security tooling: false positives.

Monad co-founder Keone Hon later amplified the development on X, calling it “an insightful post on how we are using AI to secure Monad.”

Monad TVL Crosses $400 million

Monad’s AI-security narrative is coming at a time when the blockchain is witnessing strong ecosystem growth too.

The network has crossed the $400 million TVL milestone within roughly six months of launch. This makes it one of the fastest-growing emerging Layer 1 ecosystems in the current cycle.

Data from defillama show that Monad now holds more than $414 million in stablecoin liquidity, while bridged assets on the network are nearing $630 million.

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A major part of Monad’s appeal lies in its attempt to combine Ethereum compatibility with significantly higher throughput.

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The network claims performance of up to 10,000 transactions per second (TPS). Since launch, the blockchain has reportedly processed over 140 million transactions. Over the past month, Monad’s DeFi TVL has also grown by around +28.4% from $333 million to $427.7 million.

 

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