Machine Learning Best Way to Defend Web3 From Exploits - The Defiant

It's no secret that crypto-centric data breaches have been soaring recently, with this trend likely to increase in the foreseeable future, especially as cybercriminals continue to employ more sophisticated techniques to facilitate their attacks. To this point, losses emanating from various cryptocurrency hacks surged by approx. During October 2022 alone, a record $718 million was stolen from DeFi protocols across 11 different hacks, sending the year's cumulative hack-related losses over the $3B mark. Now many experts believe that artificial intelligence (AI) and machine learning (ML) -- with the latter being a subset of the former -- could help alleviate many of today's most urgent cybersecurity issues. ML-driven privacy systems are designed to learn and compute a project's regular network activity and subsequently detect and identify suspicious movements.