Are LLMs Actually Useful for Security Operations? A Benchmark-Driven Analysis
This story is from 2026-10-29. It is preserved in the archive; the latest stories are on the live feed.
Two numbers, published months apart, describe the same job. One says a frontier model triages alerts with 98% accuracy . The other says the best of five off-the-shelf reasoning pipelines in a realistic replay misses 40.4% of attacks . Both are honest measurements. They are also, taken at face value…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-10-29 15:05 · DEV Community — Machine Learning
Are LLMs Actually Useful for Security Operations? A Benchmark-Driven Analysis