Building an Adaptive Agentic Cybersecurity System with NVIDIA Nemotron | NVIDIA Technical Blog

This post details the evaluation of an adaptive agentic cybersecurity system combining NVIDIA Nemotron open models with CrowdStrike's Falcon telemetry and agent harnesses. It describes the closed-loop offense-defense testing methodology, the creation of a representative test environment based on NVIDIA's accelerated computing infrastructure, and the specialization of the defensive harness with mechanisms for schema knowledge, telemetry grounding, specialized detection authoring (using Nemotron 3 Super), artifact linting, detection replay, and independent review. The evaluation demonstrated significant improvements in detection rates and generalization compared to baseline systems, highlighting the potential of agentic AI for cybersecurity operations.