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.

Lithosphere has announced the launch of Lithic, one of the first AI-native smart contract programming language designed specifically for deploying ...

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 ...

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, ...

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

Adam Back’s Blockstream has launched Bitcoin-native smart contract programming language Simplicity, offering an alternative to Ethereum’s Solidity. Blockstream, the developer of Bitcoin’s layer-2 ...

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 ...