Could powerful AI models like Anthropic's Mythos give cybercriminals and other bad actors a roadmap for exploiting tech ...

The decade-old ActiveMQ flaw was uncovered and weaponized in minutes, showing AI’s exploit-building potential amid the Mythos ...

A threat actor started exploiting CVE-2026-39987, an unauthenticated RCE vulnerability in Marimo, nine hours after public ...

Claude Mythos autonomously found zero-days in OpenBSD, FFmpeg, FreeBSD and major browsers that survived decades of expert ...

Concurrency bug detection is a critical area in the development of multithreaded programmes, where errors arising from simultaneous thread execution can lead to unpredictable and often catastrophic ...

As more people use AI tools to write code, the tools themselves are introducing more vulnerabilities. Researchers affiliated with Georgia Tech SSLab have been tracking CVEs attributable to flaws in AI ...

Claude Code users have been flooding GitHub and Reddit over the last few days with complaints that their usage limits are being exhausted at a suspiciously fast rate, with many reporting that sessions ...

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 ...

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Researchers say they’ve discovered a supply-chain attack flooding repositories with malicious packages that contain invisible code, a technique that’s flummoxing traditional defenses designed to ...

When it comes to coding, peer feedback is crucial for catching bugs early, maintaining consistency across a codebase, and improving overall software quality. The rise of “vibe coding” — using AI tools ...

The multi-agent tool, called Code Review, should catch “bugs human reviewers often miss,” Anthropic said. Agents run in parallel and deliver a high-level overview, plus in-line comments for individual ...