Anthropic launched OSS Scanner on Thursday, a free, opt-in AI vulnerability scanner that uses its strongest models, including Claude Mythos, to run periodic security scans on open-source projects at n…
Anthropic launched OSS Scanner on October 8, 2026, a free opt-in service that runs its strongest models, including Claude Mythos, over critical open-source projects and emails maintainers unreviewed b…
Anthropic launched OSS Scanner, a free opt-in vulnerability-finding service that periodically runs its frontier models over enrolled open-source codebases and returns maintainers model-generated repor…
Anthropic launched OSS Scanner, an opt-in service that uses its strongest Claude models to run periodic security scans on open-source repositories at no cost, with reports delivered directly from the …
GitHub Security Lab released the Fuzzing Taskflow, an autonomous fuzzing pipeline for C/C++ projects built on its Security Lab Taskflow Agent, which identifies entrypoints, writes AFL++ harnesses, rea…
Stalwart Labs, the company behind the Stalwart mail server, uses AI agents to fix bugs and enhance security, holding its bug queue at zero and triaging reports weekly. In April 2026, Anthropic's Proje…
UC Berkeley's CyberGym benchmark shows AI agents can now reproduce real-world software vulnerabilities with 93.2% accuracy, up from 10-30% a year ago. The leaderboard leader, a Sangfor AI Agent runnin…
Google's Chrome 149 and 150 shipped fixes for 1,072 security bugs, more than the previous 23 major releases combined, and a Gemini-powered agent found CVE-2026-3545, a 13-year-old sandbox escape in Ch…
Trail of Bits and OpenAI's Patch the Planet initiative used GPT-5.5-Cyber to build a zlib fuzzing lab in a single day, a task that would have taken weeks for a skilled security researcher. The AI auto…
Anthropic published three cyber research posts in May and June 2026 that collectively suggest AI is reducing the time between a patch and an exploit. The posts cover exploit benchmarks, mapping malici…
Anthropic's Mythos AI security tool, touted as too dangerous to release, found only one low-severity vulnerability in the heavily audited curl codebase after a privileged deployment. The curl project …
AI-powered vulnerability discovery, as demonstrated by Mythos Preview, is shifting from sparse to dense sampling of software attack surfaces, potentially leaving attackers with fewer zero-day exploits…
Researchers have developed FuzzingBrain V2, a multi-agent large language model system that automatically discovers and reproduces software vulnerabilities. The system achieved a 90% detection rate on …