Generative AI

Here’s six tips for developing a proactive AI program.

The Gemini 1.5 Pro-driven agent used variant analysis to discover the stack buffer underflow flaw.

Microsoft delays Recall AGAIN, Project Zero uses an LLM to find a bugger underflow in SQLite, the scourge of infostealer malware, zero standing privileges is easy if you have unlimited time (but no one does), reverse engineering Nintendo's Alarmo and RedBox's... boxes. Bonus: the book series mentioned in this episode The Lost Fleet by Jack Campbel...

Such funding would be leveraged by the firm to further improve its platform that ensures security protections for generative AI apps' data and lifecycle, which face novel threats that are beyond the reach of security controls.

Here’s how bad actors attack good AI models – and what to do about it.

Better TLS implementations with Rust, fuzzing, and managing certs, appsec lessons from the everlasting transition to IPv6, LLMs for finding vulns (and whether fuzzing is better), and more! Also check out this presentation from BSides Knoxville that we talked about briefly, https://youtu.be/DLn7Noex_fc?feature=shared

The old tools won’t stop the attackers today – that’s why security teams have to lean on AI-powered threat detection.

The next generation of networking and security tools must not only protect and optimize AI processes and applications but use AI itself to enhance those protections and optimizations.