AI Fuzzing: From Stochastic Chaos to Directed Precision.

Fuzzing struggles with randomness, external calls, and complex data types. This talk reveals how LLMs guide fuzzers through taint analysis, semantic understanding, and dynamic feedback—turning chaotic testing into directed precision with benchmarks.