Frontier AI models have evolved into bug-finding tools, uncovering vulnerabilities across the tech world—and now in crypto ...

IBM has signed Goldman Sachs, Morgan Stanley, JPMorgan and Bank of America onto its open-source cybersecurity effort called ...

A startup's autonomous AI agent found 21 zero-days in FFmpeg for ~$1,000. Meanwhile Chrome 149 patched a record 429 vulnerabilities in a single release.

AI is proving better than expected at finding old, obscure bugs. Unfortunately, AI is also good at finding bugs for hackers to exploit. In short, AI still isn't ready to replace programmers or ...

As AI advances, the rise of instant, customized, and often ephemeral software solutions will alter the dynamics of vulnerability hunting and patching, and thus the battle between attackers and ...

Anthropic's announcement of limited research preview of Claude Code Security — a tool that reads code, finds vulnerabilities, and proposes fixes — has caused no small amount of turmoil in the ...

This means organizations that still treat patching as a quarterly exercise are operating with materially more risk than they were even a short time ago, says an analyst.

Unlike traditional SAST, code scanners or pen testers, Xint Code uses multi-LLM reasoning and orchestration for human-like contextual understanding, identification and prioritization of hidden ...

DockSec correlates findings from container security scanners and uses AI to generate remediation guidance and exact Dockerfile fixes.

IBM is investing $5 billion in Project Lightwell, a cybersecurity initiative to shield open-source software from advanced AI threats. Driven by concerns over AI models like Anthropic's Mythos, the ...

Earlier this month, Anthropic said its Mythos Preview model was so good at finding cybersecurity vulnerabilities that the company was limiting its initial release to “a limited group of critical ...

Anthropic employee accidentally leaked Claude Code source via npm map file Leak exposed 1,900 TypeScript files with 500K+ lines of code, quickly mirrored on GitHub ...