AI Briefing#vulnerability-discovery
The latest AI and developer news about #vulnerability-discovery, with the original source and a short summary.
The latest AI and developer news about #vulnerability-discovery, with the original source and a short summary.
OpenAI's autonomous vulnerability discovery prototype identified 948 valid local privilege escalation exploits in the Linux kernel at a cost of $1.2 million in API credits.
The autonomous pipeline cost $1,213,430 to identify and patch the vulnerabilities, a fraction of the estimated $18.9M to $66.3M value based on past bug bounty rates.
AISLE's autonomous vulnerability discovery system, which identified over 500 CVEs in its first year, will anchor Cohere's new cybersecurity division.
GPT 5.6 Sol independently discovered a critical pre-auth RCE in WordPress Core after 6–10 hours of unsupervised work.
Cloudflare has launched a service that uses OpenAI Daybreak models to detect vulnerabilities and propose context-aware mitigation strategies.
This covers the verification of major security vulnerabilities discovered by Anthropic's unreleased model, Mythos.
Ramp deployed 10,000 AI agents and successfully found 7 high-severity security vulnerabilities in its own backend.
This research introduces a study that uses a Multi-Agent LLM System to automatically discover and reproduce software vulnerabilities.
A new threat is emerging in which AI tools find security vulnerabilities in Linux and Windows using nothing more than simple prompts.
Mozilla used Anthropic's Mythos to find 12 high-risk vulnerabilities in Firefox.
An LLM security benchmark for finding known vulnerabilities in real codebases