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 ...

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 ...

Crypto protocols lost hundreds of millions of dollars to smart contract failures in 2025. Now, the OWASP Smart Contract ...

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

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, ...

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

Smart contracts enable automated, trustless transactions without intermediaries. However, the security of these contracts is paramount, especially when dealing with valuable digital money and property ...

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 ...