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Signal 063Free

CrowdStrike and NVIDIA Put Offensive and Defensive AI in the Same Continuous Security Loop

CrowdStrike SafeMind combines Red Tempest offensive AI, Blue Solano defensive AI and agentic harnesses in a continuous red/blue adversarial loop built with NVIDIA Nemotron.

Red-team and blue-team AI systems continuously attacking and defending the same enterprise environment.RFDELTA SIGNAL 063
Offensive and defensive AI are being coupled into a continuous adversarial loop that can pressure-test security controls at machine speed.Cybersecurity / agentic AI

A closed-loop security system

CrowdStrike introduced SafeMind as a purpose-built agentic cybersecurity system combining two specialized model families with runtime harnesses. Red Tempest is designed to emulate advanced adversaries and search for attack paths. Blue Solano is designed to defend enterprise assets and generate protective measures.

How the loop works

The red side probes the environment and exposes gaps. The blue side uses telemetry and defensive context to close those gaps and generate protections. The offensive side then attacks again. CrowdStrike describes this as adversarial coevolution: defense is tested against an active machine-speed opponent rather than a static checklist.

What NVIDIA contributes

CrowdStrike says the system is built with NVIDIA Nemotron open models and accelerated-computing infrastructure. The key architectural point is specialization plus orchestration rather than a single general-purpose chatbot.

The RFDELTA takeaway

Security automation is moving from assistant-style AI toward closed-loop adversarial systems. That raises the bar for permissions, isolation, auditability and cyber-range testing. Autonomous red and blue agents are useful only when the harness constrains where they can act and records what they changed.

Watch the original Signal

The concise video version is designed for discovery; this page preserves the sourcing, caveats and deeper context.

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Video transcript

CrowdStrike and NVIDIA just put offensive and defensive AI into the same continuous security loop. CrowdStrike calls the system SafeMind. Red Tempest is the offensive model. It searches for attack paths and emulates adversaries. Blue Solano is the defensive model. It closes gaps and generates protections. Then the red side attacks again. CrowdStrike calls the process adversarial coevolution. NVIDIA Nemotron models sit underneath parts of the defensive stack, while agentic harnesses provide tools, memory, permissions and orchestration. That harness is also the safety boundary. Autonomous cyber agents become useful only if their actions are constrained, isolated and auditable. Security AI is moving from copilot to continuously contested system. RFDELTA tracks the control systems shaping agentic cyber defense.

Frequently asked questions

What are Red Tempest and Blue Solano?

CrowdStrike describes Red Tempest as its offensive red-team model and Blue Solano as its defensive blue-team model.

Does SafeMind mean unrestricted autonomous attacks on production systems?

No. CrowdStrike describes controlled training and validation environments; permissions, isolation and auditing remain critical boundaries for agentic security systems.

Why use specialized red and blue models?

Offense and defense require different competencies. The harness coordinates the two while controlling tools, memory, permissions and execution.

Primary sources

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