CrowdStrike and Nvidia Integrate Real-Time AI Security, Revolutionising Ways to Secure AI Enterprises

Over the past two years, the generative artificial intelligence (AI) sector has witnessed an impressive growth of 187%. Unfortunately, enterprise security investments specifically in AI security have only grown by 43%. This discrepancy has resulted in substantial gaps in readiness as AI attack surfaces expand rapidly. More than 70% of businesses experienced at least one AI-related breach in the past year, primarily targeting generative models, states recent findings from the SANS Institute.

Simultaneously, state-sponsored attacks on AI infrastructure have soared by an alarming 218% year-over-year, as CrowdStrike’s 2025 Global Threat Report reveals. This rise in threats signals a need for a new approach to AI security, as current strategies and technologies struggle to keep pace.

CrowdStrike’s CEO, George Kurtz, underscored the urgency in a VentureBeat interview, stating, ‘Security can’t be bolted on; it has to be intrinsic. A significant part of our strategy has always been to leverage security data as a key element of our core infrastructure. You can’t secure AI without data and visibility at the deepest layers.’ He later mentioned to Barron’s: ‘Generative AI helps us bend time. With embedded, telemetry-driven security we identify and neutralize threats at machine speed, stopping breaches probably six times faster than traditional methods.’

The collaboration between CrowdStrike and Nvidia promises to pave the way for more secure and efficient AI solutions across the software development lifecycle. Its inherent security focuses on preventing breaches in real-time, right within the AI workflow itself — a shift in paradigm for AI cybersecurity.