Crypto is entering a new cybersecurity regime. AI systems are becoming operational actors that can reason over code, use tools, trace dependencies, test assumptions, and iterate through attack paths with materially higher throughput than human attackers alone.

DeFi is uniquely exposed to this shift. Smart contracts are public, protocol state is transparent, execution is deterministic, and financial value is directly embedded in code. A vulnerability in DeFi can become an executable path to extract liquidity, manipulate markets, compromise governance, or exploit assumptions across multiple protocols.

This creates a structural mismatch. Most crypto security practices were built for the audit era: pre-deployment reviews, bounded scopes, and periodic reassessments. Audits remain necessary, but they are snapshots. AI-enabled attackers operate as continuous loops, scanning code, state, governance changes, oracle conditions, liquidity dynamics, and operational dependencies in real time.

In this webinar, we explore how developments in AI are reshaping DeFi cybersecurity risk. The session will examine why public, composable financial infrastructure is especially vulnerable to AI-accelerated attack discovery, how the threat model extends beyond smart contract bugs, and why the next security layer for crypto must become continuous, adaptive, and runtime-aware.

We will also discuss the case for continuous assurance: always-on security systems that combine code analysis, exploit simulation, economic attack monitoring, governance review, runtime anomaly detection, wallet and signer risk analysis, and incident response workflows.