A crash feels like being stranded on Mars.
No rescue. No signals. Just you… and the logs.
Meet Martian — our AI patch agent that fixes the unfixable. Exploring the unknown, one bug at a time.
🔗 https://t.co/eiSWcrRTkZ
#AIxCC#AICyberChallenge#LLM#GenAI#AIForSecurity
Reliable patching needs more than one AI.
Our ensemble of specialized agents collaborates to generate, verify, and validate fixes—building a scalable and dependable patching system.
👉 https://t.co/jMTeC9S59l
#AICyberChallenge#Cybersecurity#LLM#GenAI#Agent#Fuzzing
🤔 Can AI bring us closer to self-healing infrastructure?
🎙️ Team Atlanta’s Taesoo Kim joins Andrew Carney, program manager of AIxCC at DARPA & ARPA-H, to discuss AI, zero-days & self-healing infrastructure.
👉 https://t.co/y1nzBo4qQa
#AIxCC#DARPA#ARPAH#CyberSecurity#AI
@cyan_pencil Thanks! Btw, it’s not “LLM 7 vs fuzzing 67.” Dictionary, Testlang, and MLLA are the LLM-powered modules. The key point is that LLM-integrated fuzzing goes beyond traditional fuzzing, finding PoVs in complex paths fuzzers alone couldn’t reach. More details soon in our tech report!
@x1aoxia0xiao Thanks for your interest!
We've already released the same version that we submitted for the AIxCC finals.
We are now working on polishing the benchmarks we used and presenting them in a more user-friendly form.
Stay tuned!
New blog out now! We’re answering the top questions from the DEFCON audience and sharing the behind-the-scenes story of our victory. https://t.co/2U6Ou9S3JS #AIxCC
Breaking news! ❤️🔥 Our teammate Andrew Chin will present our AIxCC-winning system at Taiwan’s HITCON, Aug 15–16. https://t.co/bkvzTVOGdB @HacksInTaiwan