Quantstamp 2023 Web3 Security Year In Review

In recent months, AI agents have attracted significant attention by the promise of assisting users and automating complex processes across diverse applications. The rapid performance improvements of Large Language Models (LLMs) in natural language processing (NLP) tasks drive this trend. However, as the capabilities and reach of these agents expand, so do the risks. The rapid pace of development, combined with the intricacies of integrating LLMs into real-world infrastructures—especially in dynamic fields like blockchain—has created an urgent need to scrutinize them for security, compliance, and operational integrity.

April was a hectic month for the web3 security landscape, including significant rug pulls and security hacks totaling over $103 million in losses. Read on as we dive into three major security incidents and some of the trends from last month.

March was a volatile month for the web3 security landscape, with significant security breaches totalling over $152 million in losses. Read on as we dive into four major security incidents and the trends from last month 👇