CrowdStrike Embeds Falcon Security to Safeguard Enterprise Generative AI

Generative AI adoption in enterprises has skyrocketed by nearly 19% over the past two years, yet security investments focused specifically on AI risks have lagged behind, growing only 43%. This imbalance has created a significant vulnerability as AI attack surfaces rapidly expand, with over 70% of enterprises experiencing AI-related breaches in the past year alone.

State-sponsored attacks targeting AI infrastructure have surged by 218% year-over-year, highlighting the urgent need for a new approach to AI security. Traditional cybersecurity methods struggle to keep pace with the evolving threat landscape, especially as enterprises deploy AI models at scale, exponentially increasing their attack surfaces.

CrowdStrike’s Embedded Security Solution

In response, CrowdStrike has pioneered a groundbreaking solution by embedding its Falcon Cloud Security platform directly into NVIDIA’s universal Large Language Model (LLM) NIM microservices. This integration secures over 100,000 enterprise-scale LLM deployments across hybrid and multi-cloud environments, providing protection where threats actually emerge — inside the AI pipeline itself.

Unlike bolt-on security tools, Falcon’s embedded approach offers unified protection across cloud, identity, and endpoints, crucial as attackers increasingly move laterally across domains. It continuously scans containerized AI models before deployment to detect vulnerabilities, poisoned datasets, misconfigurations, and unauthorized shadow AI — risks impacting nearly 64% of enterprises.

During runtime, Falcon leverages telemetry-driven AI trained on trillions of daily signals to rapidly detect and neutralize sophisticated threats such as prompt injection, model tampering, and covert data exfiltration, providing real-time defense at machine speed.

Addressing the Shadow AI Challenge

One of the most overlooked risks is 'Shadow AI' — unauthorized AI models running without IT or security oversight. This lack of visibility creates significant vulnerabilities, especially given the sensitive data these models access. Falcon Cloud Security uncovers this hidden activity, making it visible and actionable so organizations can apply policies and reduce risk.

This situation echoes the 'Wild Wild West' era of Bring Your Own Device (BYOD) in IT security, but with generative AI adoption happening at a much faster pace and scale, making the security landscape even more complex and perilous.

From Reactive to Real-Time Security

Traditional AI security tools that rely on external scans and post-deployment fixes leave enterprises exposed at critical threat points. CrowdStrike’s embedded Falcon Cloud Security shifts this paradigm by integrating continuous defense directly into the AI lifecycle — from development through runtime.

Falcon’s AI Security Posture Management (AI-SPM) proactively scans for misconfigurations, unauthorized models, and policy violations before deployment, enabling organizations to innovate rapidly without sacrificing oversight or security.

This embedded approach also automates compliance with emerging regulations like the EU AI Act, making model safety, traceability, and auditability intrinsic and less labor-intensive.

Operational Benefits for CISOs and Security Teams

• Intrinsic zero-trust at scale with automated security policy enforcement across AI models.
• Proactive vulnerability detection and mitigation before AI models go live.
• Continuous runtime intelligence that detects and blocks threats like prompt injection and data exfiltration in real time.

CrowdStrike’s approach secures AI models fine-tuned on sensitive or proprietary data with deeper visibility and bespoke controls across training, tuning, and deployment stages. This embedded security model is essential as generative AI becomes foundational to enterprise infrastructure.

In summary, CrowdStrike and NVIDIA’s integration doesn’t just add a layer of protection; it fundamentally redefines how AI systems must be architected to withstand evolving cyber threats, ensuring enterprises can innovate securely and at speed.