You can’t be sure where that AI-generated code came from or what malware it might contain. These 4 steps help mitigate vibe-coding risk.

In an era defined by rapid AI adoption, securing software has become increasingly complex. As organizations integrate ...

First large scale automated trust assessment finds widespread risk across browser extensions, including AI agents. Only ...

OpenAI Group PBC today announced a major revamp of its artificial intelligence coding tool Codex, giving it a number of new ...

QR Codes are no longer something people “try.” They’re something people use every day, whether it’s scanning a restaurant ...

Explore the recent advances in fuzzing, including the challenges and opportunities it presents for high-integrity software ...

Harness field CTO reveals 46% of AI-generated code contains vulnerabilities. Learn how to secure your SDLC with multi-layered ...

Prompt-driven collaboration enables engineers to explore solutions, generate fixes and accelerate remediation beyond traditional tooling.

A new wave of device code phishing shows how threat actors are scaling account compromise using AI and end‑to‑end automation.

Infosecurity outlines key recommendations for CISOs and security teams to implement safeguards for AI-assisted coding ...

Abstract: This study presents a hardware countermeasure that integrates two distinct types of random number generators. Recently, several effective time-based countermeasures against side-channel ...

GitHub is adopting AI-based scanning for its Code Security tool to expand vulnerability detections beyond the CodeQL static analysis and cover more languages and frameworks. The developer ...