Pioneer and global leader of cyber security solutions Check Point Software Technologies’ AI Cloud Protect is now part of NVIDIA Enterprise AI Factory validated design for AI runtime cyber security, enhanced protection, and robust infrastructure acceleration capabilities. View Video (2mins)
“The integration of Check Point AI Cloud Protect is available for enterprise AI deployments, validated on NVIDIA RTX PRO Servers to secure AI factories at scale — with no negative impact to AI system performance,” says Check Point’s Ian Janse van Rensburg, Head: Security Engineering Africa.
AI factories are the new class of purpose-built data centers for AI.
“As businesses and service providers deploy AI tools and systems, having strong cyber security across the entire AI pipeline, from design to deployment, is a foundational requirement,” van Rensburg says.
The collaboration between Check Point and Nvidia comes as attacks on AI infrastructure and prompt-based manipulation are increasing.
According to a recent Gartner report, 32% of organisations have already experienced an AI attack involving prompt manipulation, while 29% faced attacks on their GenAI infrastructure in the past year.
Nearly 70% of cyber security leaders said emerging GenAI risks demand significant changes to existing cyber security approaches. And a recent Lakera (owned by Check Point) survey found that only 19% of organisations describe their GenAI security posture as “highly confident,” while nearly half (49%) report high concern about the vulnerabilities they face.
AI Infrastructure Meets Enterprise-Class Security
The integration of Check Point security with NVIDIA BlueField platform tackles cyber threats and vulnerabilities by enabling real-time monitoring across enterprise AI infrastructure. This improves isolation between AI workloads, and provides deep visibility and control over AI data, while maintaining efficiency and high performance as traffic and scale increase.
“The integrated AI Cloud Protect software from Check Point delivers real-time network and host security against AI threats using NVIDIA DOCA Argus telemetry and Check Point’s native AI-powered cyber security,” van Rensburg says.
Infrastructure Layer
AI Cloud Protect protects AI factories with zero negative performance impact. Running on NVIDIA BlueField, it secures the infrastructure that powers AI without consuming precious GPU capacity. View Video
Application Layer
CloudGuard Web Application Firewall (WAF) stops AI application threats including prompt injection, jailbreaking, and LLM poisoning at the source. Check Point provides market-leading AI application security with runtime protection for LLM inputs, outputs, and all data flows—including retrieval-augmented generation (RAG) and model context protocol (MCP) servers.
With industry-leading detection delivering exceptionally low false positives, and a unique data advantage from Gandalf (the world’s largest AI red team platform with over 80 million adversarial attack patterns), this layer provides specialised protection for agentic AI applications that autonomously interact with enterprise systems.
User Layer
GenAI Protect governs employee AI usage, prevents sensitive data leakage, and ensures compliance. It provides complete visibility into which AI tools employees are using, prevents sensitive data loss in real-time, and automatically generates audit trails for regulatory compliance. This ensures that while employees adopt new AI tools, organisations maintain control over their data and meet their compliance obligations.
AI Security at the Network Layer for Safe AI Adoption
- GenAI security via Check Point firewalls (Quantum & CloudGuard Network Security)
- Auto-detect MCP servers and traffic (Model Context Protocol). See which tools and apps they are using and generate traffic logs for deep analysis
- Extend full application control to AI apps, create policies to permit or block access
- Full control over Agentic AI, MCP servers, and shadow Gen AI apps
“Check Point offers a leading and comprehensive security portfolio that empowers enterprises to secure their entire AI supply chain including infrastructure, networking, enterprise apps, and end users,” van Rensburg concludes.