AI Finds 70% of Smart Contract Exploits | Alpin Yukseloglu

AI is rapidly transforming crypto security: EVM Bench shows LLMs can detect and exploit smart-contract bugs, forcing an urgent offense–defense race.

Key Takeaways

EVM Bench shows LLM exploit detection jumped from ~13% to >70%, revealing fast AI capability gains and urgent need to harden smart contracts.
EVM Bench is a verifiable benchmark plus agent harness that detects, patches, and runs proof-of-concept exploits to remove false positives and train models.
Short-term threat: cheap automated inference will target small-market, low-TVL EVM contracts first, enabling bots to harvest the long tail at scale.
Defensive playbook: prioritize formal verification, battle-tested contract patterns, continuous adversarial scanning, and protocol-layer security to stay ahead.
Long-term upside: superhuman AI auditors and verifiable on-chain data could increase on-chain asset security and enable much greater asset capacity.
Practical advice: ship quickly, collaborate with frontier labs, adopt harnesses/tests, and focus on tooling and standards (EVM Bench, formal methods).