---
title: "Building an Adaptive Agentic Cybersecurity System with NVIDIA Nemotron"
description: "NVIDIA and CrowdStrike describe an agentic cybersecurity system that links red-agent attack execution with blue-agent detection engineering in a continuous offense-defense testing loop. In an isolated environment modeled on NVIDIA accelerated computing infrastructure, Falcon sensors captured telemetry while Nemotron 3 Ultra orchestrated the defensive workflow and a customized Nemotron 3 Super generated or repaired detections. The harness grounded agents in sensor schemas and attack traces, then applied linting, replay, structured correction, and independent review before deployment. Backtesting raised mean detection of the recorded attack from 16.5% to 41.9% with the optimized open pipeline across independently seeded sessions. In live-fire tests, five of 11 open detections detected an unseen attack, three qualified as gold, and those three covered all eight attacks; the authors call the result a directional case study because it used one scenario family and limited benign traffic."
---

# Building an Adaptive Agentic Cybersecurity System with NVIDIA Nemotron

[NVIDIA](https://yomu.fyi/company/nvidia-developer-blog) · Michelle Horton · Sep 1, 2026

**Type:** Explainer

## Summary

NVIDIA and CrowdStrike describe an agentic cybersecurity system that links red-agent attack execution with blue-agent detection engineering in a continuous offense-defense testing loop. In an isolated environment modeled on NVIDIA accelerated computing infrastructure, Falcon sensors captured telemetry while Nemotron 3 Ultra orchestrated the defensive workflow and a customized Nemotron 3 Super generated or repaired detections. The harness grounded agents in sensor schemas and attack traces, then applied linting, replay, structured correction, and independent review before deployment. Backtesting raised mean detection of the recorded attack from 16.5% to 41.9% with the optimized open pipeline across independently seeded sessions. In live-fire tests, five of 11 open detections detected an unseen attack, three qualified as gold, and those three covered all eight attacks; the authors call the result a directional case study because it used one scenario family and limited benign traffic.

## Context

Traditional red-and-blue exercises rely on manual handoffs between attack execution, telemetry review, detection engineering, and retesting. This limits iteration speed and makes it harder to identify defensive gaps, test adaptive attacks, and validate detections against normal enterprise activity.

## Approach / What changed

The system connects red-agent and blue-agent harnesses in a closed loop. Red agents execute and adapt attacks in an isolated representative environment, while blue agents reconstruct activity, generate detections, validate them through schema checks, linting, replay, and independent review, then return results for further retesting. Nemotron 3 Ultra handles defensive orchestration and customized Nemotron 3 Super handles detection generation and repair.

## Takeaways

- Adding the tuned harness, domain context, tools, validation, and customized Nemotron 3 Super increased mean backtest detection from 16.5% to 41.9%, a 2.5x improvement across independently seeded sessions.
- In live-fire testing, five of 11 optimized open-pipeline detections detected at least one of eight new attacks. Three passed the gold quality criteria and collectively covered all eight attacks.
- The evaluation covered one scenario family and limited benign traffic; three of eight live-fire runs had harness failures, so the result is a directional system-level case study rather than a general benchmark.

**Tags:** [AI](https://yomu.fyi/topic/ai), [AI Agents](https://yomu.fyi/topic/ai-agents), [Nemotron](https://yomu.fyi/topic/nemotron), [Security](https://yomu.fyi/topic/security)

- Source: [NVIDIA](https://developer.nvidia.com/blog/building-an-adaptive-agentic-cybersecurity-system-with-nvidia-nemotron)
- Source URL: https://developer.nvidia.com/blog/building-an-adaptive-agentic-cybersecurity-system-with-nvidia-nemotron
- Ingested by Yomu: 2026-09-01T20:00:52.344Z

[Read original post](https://developer.nvidia.com/blog/building-an-adaptive-agentic-cybersecurity-system-with-nvidia-nemotron)