The Ethereum Foundation has long invested in network protection through its protocol security team and formal verification. The introduction of AI agents continues its evolution from manual auditing to an automated + intelligent hybrid security model, having previously disclosed and fixed critical vulnerabilities multiple times during upgrades.

Capital and resources are concentrating on blockchain security infrastructure. The foundation is mobilizing the open-source community and AI tools, strategically aiming to reduce losses from attacks on high-value protocols while establishing a more resilient security barrier for the entire Ethereum ecosystem.

Similar to the upgrade from static analysis tools to AI-assisted fuzzing in the traditional software industry, or recent security audit practices in other public chains, Ethereum is currently in the early stage of "AI-driven proactive defense," focusing on the transition from single-point vulnerabilities to complex attack chains.

This essentially involves technological substitution and industrial chain reconstruction: AI replaces part of the manual vulnerability mining work, but due to false positives and the limitations of complex chains, human security experts are still needed to lead verification. The mechanism is that AI enhances discovery speed while forcing security processes to reconstruct into a "AI-generated + human + automated verification" hybrid system to cope with increasingly complex attack surfaces.

ABAB News · Cognitive Law

AI is good at finding vulnerabilities but even better at generating false positives; trust requires verification, not replacement.
Complex attacks are always composed of multiple legitimate steps; a single tool cannot overcome systemic risks.
Security is not a race for speed but a protracted battle of human-machine collaboration.