AI advances audit coverage for innovative multi-language virtual machine
This AI-powered threat modeling tool expands the scope of blockchain audits, enabling deep analysis for increasingly complex systems.
QANplatform and Hacken have released an AI-assisted blockchain threat modelling tool, designed to take auditing beyond simple code checks.
Cryptocurrency has become a trillion-dollar space that processes billions of dollars worth of digital assets daily, powering a wide range of use cases.
Unlike traditional systems, blockchains operate without a safety net — no centralized rollback, no customer support line. A single vulnerability in a smart contract can trigger irreversible consequences.
Security audits are designed to catch these issues early. However, modern blockchain networks are getting increasingly complex. Decentralized finance (DeFi) protocols interact with dozens of external contracts, layer-1 platforms experiment with custom runtimes. Each addition expands the potential attack surface, and human auditors — no matter how skilled — have limits.
Artificial intelligence becomes a handy tool to overcome such limitations by generating realistic threat scenarios, simulating interactions at scale and identifying vulnerabilities that static analysis or manual review might miss.
