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 ...

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

Learn the top gas optimization techniques for Ethereum smart contracts to reduce costs, improve efficiency, and scale dApps effectively.

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.

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, ...

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, ...

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.

Now that the Data Act has been approved it will clearly be a revolution for the Internet of things (IoT) providers and for companies interested in accessing data generated by the IoT. The Data Act has ...