SOC pipelines look sophisticated on architecture diagrams, but in reality they behave more like a collection of enthusiastic components trying their best under questionable conditions. Everyone wants reliable detections, but most teams still test with one or two replayed incidents and a quiet hope that nothing unexpected happens. Foundation models finally give SOCs something better…
People often ask how large language models actually work. Vendors explain it with sleek diagrams, and academics explain it with equations that should probably come with a wellness check. The truth is simpler and significantly less elegant. An LLM is, at its core, a trillion-parameter anxiety ball duct-taped to matrix multiplication and trained by grad…
Mobile systems behave like jazz improv, and machine learning keeps trying to make sense of the rhythm. Sprinkle in some syscall traces, binder transactions, and the occasional permission check, and you end up with a training set that looks less like engineered telemetry and more like a mood board. The models still try their best.…