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

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

Kaspa expands Layer-1 capabilities, but LiquidChain addresses the deeper structural challenge of fragmented liquidity. Assets ...

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 ...

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.

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

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

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, ...

While exploitation of security flaws in many smart contracts have become a perennial target of cyberattackers, more security firms are shining a spotlight on scams that use fraudulent or obfuscated ...