Hunting for individual vulnerabilities will get us nowhere, Anthropic argues. Instead, businesses should reduce accessible ...
This is written for those who use AI or LLM libraries in Python and haven't decided where to stop or how to detect when a ...
This week, updates related to "certificates" were released for Java, Node.js, Go, and Python respectively. While they may ...
ScholarEvolve uses published research to improve AI agents, raising Qwen's AppWorld task completion from 69% to 81.4% without retraining the model.
The coding agent I didn't know I needed ...
Nimble's Yuval Bertocchi explains how code turned collected web data into a complete result. His LDS interview examines the ...
Automated attack surface analysis and reduction can meaningfully improve the security of deployed software in the near term.
Anthropic's Frontier Red Team used Claude to formally verify security properties in 123 open-source libraries at the assembly ...
Hands-on with graphify on httpx: a 2,233-node code graph in 2.1 s with zero LLM tokens, and explain at 628 tokens vs 13,659 to read the file.
It may not be enough to just use LLMs to write your code when you can also use them to adjust it while your program runs.
An IBM and Red Hat report says AI is making vulnerability discovery easier, but patch delays, limited maintainer resources ...
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