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Comprehensive Security for AI Infrastructure, From GPU to Application
As enterprises invest billions in private AI and LLM infrastructure, the attack surface has fundamentally expanded. AI data centers managing GPU clusters, distributed inference services, and high-throughput training pipelines face threats that traditional security tools were never built to address — from prompt injection and model poisoning to lateral movement across Kubernetes workloads and data exfiltration through AI APIs.
Check Point delivers the industry's most comprehensive AI data center security architecture: a layered, defense-in-depth approach that protects every layer of the AI stack — from the perimeter and network to individual NVIDIA GPU servers, containers, and GenAI applications. Built on a prevention-first philosophy, Check Point embeds security by design across AI factories, private LLMs, and Neocloud environments, without sacrificing AI server performance.
Solution Components
Hyperscale perimeter firewall with Zero Trust Network Access (ZTNA), elastic Security Groups, and terabit-level east-west and north-south traffic inspection for AI fabric ingress/egress, accelerated with NVIDIA ConnectX NICs.
AI-native web application firewall with LLM guardrails, prompt injection detection, DLP, API abuse protection, and red teaming defenses for GenAI applications and inference endpoints.
Inline distributed NGFW/IPS engine embedded on NVIDIA BlueField™ DPUs via NVIDIA DOCA™ framework — hardware-accelerated security at the GPU server level with zero impact on AI workload performance.
Real-time visibility and control over GenAI applications — intercepting prompts and outputs, enforcing customizable guardrails, detecting adversarial queries, and maintaining centralized policy across all inference environments.
Automated adversarial testing of LLM applications to identify vulnerabilities, jailbreak vectors, and misuse patterns before they reach production.
Centralized policy orchestration and telemetry across all DPUs, firewalls, Kubernetes clusters, and cloud environments — providing unified visibility for DevOps, SecOps, and compliance auditing.
Ongoing exposure visibility and risk prioritization across AI infrastructure, supporting regulatory alignment with EU AI Act, GDPR, NIST AI RMF, and ISO 42001.
East-west micro-segmentation and namespace-level access control within K8s clusters, with automated quarantine of compromised containers via integration with Illumio and Maestro NGFW logs.
Hardware-level memory forensics on DPU infrastructure enabling agentless runtime threat detection — including SBOM integrity, reverse shell detection, and hash reputation via Check Point ThreatCloud.
Securing AI for Enterprises
Discover how Check Point's comprehensive security portfolio protects your entire AI supply chain from infrastructure to end users. Learn how enterprises can confidently develop and deploy AI solutions while maintaining robust security.
Check Point AI Security
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Why WWT & Check Point for AI Security
Professional & Technical Services Opportunity
Check Point's multi-layer AI security architecture — spanning DPU firmware integration, Kubernetes segmentation, and LLM application security — creates substantial scoping, deployment, and managed services opportunities for national partners and GSIs.
WWT's technical services teams can build differentiated AI security practices around implementation, architecture review, posture assessment, and ongoing management of Check Point's AI factory stack.
Open Platform & Ecosystem Integration
Check Point's open-garden approach integrates natively with key ecosystem vendors that WWT and national partners sell today: NVIDIA (BlueField™ DPU / NVIDIA DGX™ systems), Illumio (Kubernetes microsegmentation), and major cloud platforms (AWS EKS, Azure AKS, GKE).
This makes Check Point AI security a natural upsell motion alongside existing NVIDIA GPU infrastructure deals — securing the investment rather than competing with it.
High-Growth Strategic Market Aligned to NVIDIA Infrastructure Sales
AI data center and AI factory deployments represent one of the fastest-growing infrastructure categories, with enterprise AI investment accelerating globally. Gartner reports that 32% of organizations experienced AI attacks involving prompt manipulation in the past year.
Check Point AI security sits parallel to the NVIDIA GPU server sales motion — every DGX™ cluster and Neocloud deployment is a security opportunity. This aligns Check Point's AI factory firewall (running natively on BlueField™ DPUs) directly with existing NVIDIA partner sales plays at WWT.
Check Point in the ATC
Check Point Technologies, Architecture, & Deployment Models
Check Point SD-WAN Lab
Check Point Training Lab
Check Point NGFW Foundations Lab