Securing NVIDIA AI Cloud Data Centers with the Next Wave in Real-Time Runtime Security

The explosive growth
of AI is transforming enterprises and cloud providers alike, creating
unprecedented demand for secure, high-performance AI infrastructure. At
NVIDIA
GTC 2025, Check Point will share how it is
integrating the NVIDIA Cybersecurity AI platform to secure the next generation
of AI cloud infrastructure at scale.
The Unique Security Challenges
of AI Cloud Data Centers
AI Cloud Data Centers
represent a fundamental shift from traditional data centers to accelerated
computing. These AI Cloud Data Centers are sometimes called “AI factories” because they focus
specifically on the creation, development, and delivery of AI capabilities that
power innovation across industries.
AI Cloud Data Centers
deal with the same requirements and attack vectors as other data centers, but
with added challenges. They require massive computational resources, handle
extremely valuable intellectual property, and process sensitive data at unprecedented
scale. For cloud service providers, this creates a dual challenge: delivering
the performance their customers demand while ensuring ironclad security for
these critical workloads.
Enterprises are
leveraging AI to transform core business operations, from detecting fraud to
designing new products to driving earlier disease detection. Across all
sectors, the security of AI infrastructure has a direct impact on business
outcomes and customer trust. Stakes are particularly high in AI cloud
environments. Training runs can last weeks or months using petabytes of
sensitive data, and the resulting models often represent substantial investment
and competitive advantage. Similarly, inference processes, where trained AI
models draw conclusions from new data, must be protected. A security breach
doesn't just compromise their data - it can erase months of work and put
essential intellectual property at risk.
AI Cloud Protect: Security without Compromising Performance
Through our AI Cloud Protect solution, we are delivering a new standard for securing NVIDIA AI
factories and cloud infrastructure. This solution enables cloud service
providers and enterprises to offer robust security that matches the need for
speed in AI, with zero impact on performance.
That is because all
the security functions run natively, as part of the AI infrastructure on the NVIDIA BlueField-3 DPU, meaning that CPU and GPU resources can be fully dedicated for AI
workloads. It's an approach that transforms security from a potential
bottleneck into a business enabler, helping cloud service providers (CSPs) and
enterprises create secure cloud platforms, protecting their most valuable
assets.
Comprehensive Protection for AI Development, AI Training and Inference
Check Point’s AI
Security solutions address critical vulnerabilities throughout the AI
development and training stages for CSPs and enterprises. Check Point AI Cloud
Protect secures AI infrastructure from unauthorized access to reduce risk for
data poisoning and model exfiltration using network level protection. At the
host-level, AI Cloud Protect leverages the unique direct memory access of NVIDIA DOCA App Shield to provide
visibility into all running processes on the AI node. This enables Check Point
to detect and prevent host-level malicious processes and workloads including
those in publicly downloaded Large Language Models (LLMs), powered by NVIDIA
BlueField DPUs.
Join Us at NVIDIA GTC 2025
Join us at GTC 2025 to
discover how we are helping organizations confidently deploy and scale their AI
initiatives. Learn how cloud providers and enterprises can use this solution to
secure their AI infrastructure while accelerating innovation and growth.
Don't miss this
essential session on how to Power the Next Wave of AI with
Real-Time Runtime Security [S71642] on
Thursday March 20 at 2pm PDT (and on demand after) at GTC 2025. Check Point is
redefining how organizations protect their AI infrastructures powered by NVIDIA
Cybersecurity AI capabilities in an increasingly complex threat landscape.