Google DeepMind unveils CodeMender, an AI agent that autonomously patches software vulnerabilities - SiliconANGLE ...

Although capable of reducing trivial mistakes, AI coding copilots leave enterprises at risk of increased insecure coding patterns, exposed secrets, and cloud misconfigurations, research reveals.

AI is increasing both the number of pull requests and the volume of code within them, creating bottlenecks in code review, integration, and testing. Here’s how to address them.

CodeMender is based on the company's Gemini Deep Think model. According to Raluca Ada Popa, senior staff research scientist at Google's DeepMind, and John "Four" Flynn, VP of security at DeepMind, the ...

OX is shifting security as far left as it can go with VibeSec, which it says can stop insecure AI-generated code before it gets generated.

Organizations that balance speed, security and resilience can turn debt management into a strength, enabling sustainable innovation at scale.

This adaptive approach gives Avast the capacity to block ransomware, phishing, and scams in real time, making AI-powered online security an active rather than reactive defense. Software Experts notes ...

"Appearing to be aided by a large language model (LLM), the activity obfuscated its behavior within an SVG file, leveraging business terminology and a synthetic structure to disguise its malicious ...

For the engineers who’ve been watching VRAM usage climb while their Frankenstein chains of LLMs collapse under edge cases, Tinker reads like a manifesto. The future of AI, it argues, isn’t in building ...