How to secure AI agents end-to-end: CrowdStrike and NVIDIA

AI agents are becoming production workloads, and attackers are already targeting them. Enterprises need protection that spans the full stack, from the agent code down to the GPU it runs on. Softprom is the official distributor of CrowdStrike.

Autonomous AI agents introduce a new category of risk: non-human identities with privileged access, dynamic tool use, and unpredictable runtime behavior. Traditional endpoint and workload security was not designed for this. CrowdStrike and NVIDIA are closing that gap by integrating detection, response, and infrastructure-level telemetry into a single security fabric for agentic AI.

What was announced

CrowdStrike and NVIDIA expanded their partnership to extend AI agent security from software down to silicon. The integration brings the CrowdStrike Falcon platform together with NVIDIA accelerated computing to protect agentic workloads across build, deploy, and runtime stages. Falcon telemetry now incorporates signals from NVIDIA GPU infrastructure and NVIDIA Nemotron models, enabling SOC teams to detect prompt injection, model abuse, data exfiltration, and runtime tampering targeting AI agents.

Why this matters

For CISOs and IT leaders, agentic AI is moving from pilot to production without a mature security model. Shadow agents, over-permissioned service accounts, and unmonitored GPU workloads create blind spots that existing EDR and SIEM tooling cannot cover. A joint CrowdStrike and NVIDIA stack gives security teams a consistent control plane across cloud, on-prem, and GPU-accelerated environments, reducing the cost of standing up AI governance programs.

Technical details

• Falcon for AI agents: runtime visibility into agent behavior, tool calls, and identity usage.
• NVIDIA integration: telemetry from NVIDIA GPU infrastructure and NIM microservices feeds Falcon detections.
• Nemotron models: used to accelerate SOC triage and reasoning across agentic alerts.
• Charlotte AI: correlates agent-level signals with endpoint, identity, and cloud detections.
• Coverage: protection spans build-time model risk, deployment posture, and runtime threat detection.

FAQ

What problem does this partnership solve?

It secures AI agents end-to-end, from the model and software layer down to the GPU silicon they execute on, giving SOC teams unified visibility across agentic workloads.

Does this require replacing existing security tools?

No. The integration extends the CrowdStrike Falcon platform already deployed on endpoints, cloud, and identity, adding agentic AI and GPU workload coverage without a parallel stack.

Which AI workloads are supported?

Agentic workloads running on NVIDIA accelerated computing, including NIM microservices and Nemotron-based agents, deployed across cloud and on-prem environments.

Softprom and CrowdStrike

Prepared by the Softprom editorial team based on vendor materials (Softprom DistriFlow). Source: original article.