How does AI improve Smart Contract Vulnerability Scanning? We analyze the difference between Static and Dynamic code analysis ...

Discover how AI-driven smart contract auditing detects vulnerabilities, improves security, and ensures safer blockchain deployments.

Robust security is critical in open networks where software controls user funds. Security strategies must evolve as AI’s role ...

Update (25 July, 2025 at 3:00 PM UTC): This article has been updated to add commentary by Shantanu Sontakke, security engineer at web3 security firm Zokyo Smart-contract developers and auditors told ...

OpenAI and Paradigm have released EVMbench—a framework for evaluating AI agents' ability to find vulnerabilities in Ethereum smart contracts.

The convergence of AI and smart contracts isn't a future vision—it's an incremental process already underway. It propels blockchain automation into the next phase: one where contracts don't only ...

Technical weaknesses in smart contracts, such as reentrancy and flash loan exploits, have led to substantial financial losses in the crypto space. Targeted security solutions, like SphereX and GoPlus, ...

Imagine if ordinary people could write smart contracts in their native language. It could bring in “billions of new [blockchain] users.” “Smart contract programming is hard,” said Emin Gün Sirer, ...

Baseline coding agents didn’t fare too well against purpose-built AI security agents in detecting flaws in DeFi contracts underscoring that organizations must not rely on audits and must press AI into ...

Algorand warns developers that vibe coding smart contracts with AI tools risks irreversible fund loss and calls for disciplined agentic engineering.

OpenAI has launched a new benchmark that evaluates how well different AI models detect, patch and even exploit security ...