Check Point Software Technologies has unveiled AI Cloud Protect, a new enterprise security solution developed in collaboration with NVIDIA. Designed to safeguard AI model development, agentic AI applications, and inference workloads, the platform aims to protect AI-driven operations without compromising performance. It has been validated on NVIDIA RTX PRO Servers and leverages NVIDIA BlueField technology to secure deployments from data centres to the cloud.
“As enterprises race to build AI-driven innovation, they can’t afford blind spots,” said Nataly Kremer, Chief Product Officer at Check Point. “With NVIDIA, we’re making AI factories secure by design—protecting models, data, and infrastructure without slowing innovation.”
The launch addresses the growing cybersecurity risks tied to AI adoption. With more than half of enterprise networks now using AI tools, these systems have become prime targets for attacks. Check Point’s research shows that one in every 80 generative AI prompts exposes sensitive data, while Gartner reported that 32% of organisations experienced AI attacks through prompt manipulation and 29% faced incidents targeting their GenAI infrastructure over the past year.
Protecting the AI pipeline
AI Cloud Protect secures the infrastructure powering AI model development and training. Running on NVIDIA BlueField-3 Data Processing Units (DPUs), the platform delivers full-stack protection without consuming CPU or GPU resources, avoiding performance trade-offs seen in traditional solutions. It provides network-level protection to prevent unauthorised access and reduce risks such as data poisoning and model exfiltration.
At the host level, AI Cloud Protect uses NVIDIA DOCA Argus for direct memory access and full visibility into all processes running on an AI node. This capability allows the detection and blocking of malicious activities and workloads, including potential threats in publicly downloaded large language models.
“Security is essential for the next generation of AI infrastructure,” said David Reber, Chief Security Officer at NVIDIA. “NVIDIA is working with Check Point to integrate BlueField acceleration and the NVIDIA DOCA Argus runtime security framework into the AI Cloud Protect platform to help enterprises deploy AI confidently.”
The platform will also support the upcoming NVIDIA BlueField-4 DPU, which promises six times more compute power and twice the network throughput, enabling enterprises to scale secure AI operations more efficiently.
Strengthening enterprise AI adoption
Beyond AI Cloud Protect, Check Point’s wider security ecosystem includes solutions that defend the entire AI supply chain. CloudGuard Web Application Firewall with Lakera integration protects AI-driven enterprise applications from attacks such as prompt injection and jailbreak attempts. Infinity GenAI Protect provides visibility into generative AI usage across organisations, enforcing policies to prevent data leaks and ensure compliance.
Check Point is piloting AI Cloud Protect with financial institutions and partners such as World Wide Technology (WWT). Early deployments are focused on data centres supporting large language model development and prompt-based applications, securing sensitive data and intellectual property. Validation on NVIDIA RTX PRO Servers enables enterprises to adopt AI Cloud Protect with confidence.
“As enterprises build AI server factories at scale, the combination of Check Point’s AI Cloud Protect and NVIDIA BlueField acceleration delivers enterprise-grade protection for sensitive AI workloads from model training to inference without compromising the performance modern AI applications demand,” said Chris Konrad, Vice President of Global Cyber at WWT.
AI factories bring new vulnerabilities, from extensive compute and data pipelines to emerging threats like prompt injection and model poisoning. By offering comprehensive protection across network, host, and application layers with zero performance impact, AI Cloud Protect aims to redefine how enterprises secure their AI operations.
