AI drives a 2.8x increase in on-chain attack frequency, intensifying security pressures.

ME AI message, according to BlockBeats statistics, after the widespread adoption of AI, the monthly frequency of on-chain attacks has increased to approximately 2.8 times the previous level. Using the period from 2020 to 2021 as the baseline before large-scale AI usage, the average monthly number of on-chain attacks was about 3.7; in the most recent two years from June 5, 2024, to June 5, 2026, the average monthly number of on-chain attacks rose to approximately 10.4, totaling 250 incidents. Looking at annual data, there were 17 on-chain attacks in 2020, 71 in 2021, and 67 in 2022. After the release of ChatGPT, the number increased to 97 in 2023, 94 in 2024, 97 in 2025, and 96 so far in 2026 (annualized to about 225). The data shows that the number of attack incidents has remained consistently higher than the early baseline since 2023. High-frequency attack windows are concentrated in late 2025 to 2026. Specifically, within the 56-day window following the release of GPT-5.2 on December 11, 2025, there were 24 attacks; within the 42-day window after the release of GPT-5.4 on March 5, 2026, there were 21 attacks; and within the 35-day window after the release of GPT-5.5 on April 23, 2026, there were 38 attacks—the highest on record. The frequency of on-chain attacks has significantly increased since AI adoption and remains elevated during recent model release windows, indicating that the landscape of crypto security defense is entering a phase of higher frequency and greater automation. As AI enhances capabilities in auditing, vulnerability discovery, and attack script generation, the importance of protocol security, smart contract audits, and real-time monitoring continues to rise. (Source: BlockBeats)