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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

Hands-On Lab Workshop: Check Point SD-WAN Lab

Join us for a hands-on look at Check Point's SD-WAN solution, which centralizes routing decisions across multiple WAN links and automatically steers traffic to the best-performing path in real time. In this workshop, you'll see how Check Point builds encrypted tunnels that connect branches, data centers, and cloud networks under a single, centrally managed security policy — improving application performance, increasing resiliency through link diversity, and replacing manual, device-by-device configuration with policy-driven routing intent managed through SmartConsole.
Webinar
Oct 8, 2026 • 11:00 AM

What's New in R82.20, Part 1: AI Security Lands Directly on the Check Point Firewall

R82.20 revolutionizes Check Point Firewalls with AI Security, enhancing visibility and protection against AI threats. It introduces Workforce AI Security and AI Agent Security, offering granular control without new infrastructure. This release also supports SNORT 3.x, IPv6 DNS Trap, and provides a transparent TLS Inspection Block page, ensuring robust, native security.
Blog
•Sep 7, 2026
data center with pink and green lights

Partner POV | Check Point Lays the Groundwork for the Future of AI Factory Security with NVIDIA

AI factories demand security that lives inside the infrastructure, not around it. NVIDIA's BlueField-4 and DOCA innovations, paired with Check Point's AI Factory Firewall, embed visibility and protection directly into the data path—securing autonomous, distributed AI operations at their source.
Partner Contribution
•Sep 4, 2026
a glowing neural network or circuit pattern being probed by scanning light beams

Getting Started with Check Point AI Red Teaming

Check Point's AI Red Teaming revolutionizes AI security by continuously testing models for adversarial weaknesses, replacing traditional, infrequent assessments. It offers dynamic risk evaluation across multiple languages and objectives, providing real-time protection and visibility. This automated platform empowers security teams to focus on genuine threats, enhancing AI application resilience.
Blog
•Aug 24, 2026

Why WWT & Check Point for AI Security

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.

Why WWT & Check Point for AI Security

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.

Why WWT & Check Point for AI Security

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

Get hands-on access to Check Point's solutions in our Advanced Technology Center (ATC).

Hands-On Lab Workshop: Check Point SD-WAN Lab

Join us for a hands-on look at Check Point's SD-WAN solution, which centralizes routing decisions across multiple WAN links and automatically steers traffic to the best-performing path in real time. In this workshop, you'll see how Check Point builds encrypted tunnels that connect branches, data centers, and cloud networks under a single, centrally managed security policy — improving application performance, increasing resiliency through link diversity, and replacing manual, device-by-device configuration with policy-driven routing intent managed through SmartConsole.
Webinar
Oct 8, 2026 • 11:00 AM

Check Point Technologies, Architecture, & Deployment Models

This learning path delivers a structured exploration of Check Point's security design principles and platform deployment models across enterprise network environments. Through guided articles, videos, & a hands-on-lab, participants will develop meaningful insightst around platform selection, deployment placement, and policy design for the data center, Internet edge, campus, and branch.
Learning Path

Check Point SD-WAN Lab

The Check Point SD-WAN lab is a hands-on environment designed to teach how Quantum SD-WAN is configiured over an existing environment that deploys Check Point security gateways . You will explore a distributed topology that includes branch sites with multiple ISP connections, centralized management, and simulated internet and MPLS transport, then configure SD-WAN objects tunnels & monitor various parameters. The lab also emphasizes operational workflows, including policy deployment, validation, & monitoring.
Advanced Configuration Lab
5 launches

Check Point Training Lab

This lab is designed for internal WWT Users to utilize Check Point's training to better understand their products, including Quantum, Harmony, CloudGuard, and Infinity Core Services.
Foundations Lab
7 launches

Related Content

Hands-On Lab Workshop: Check Point SD-WAN Lab

Join us for a hands-on look at Check Point's SD-WAN solution, which centralizes routing decisions across multiple WAN links and automatically steers traffic to the best-performing path in real time. In this workshop, you'll see how Check Point builds encrypted tunnels that connect branches, data centers, and cloud networks under a single, centrally managed security policy — improving application performance, increasing resiliency through link diversity, and replacing manual, device-by-device configuration with policy-driven routing intent managed through SmartConsole.
Webinar
Oct 8, 2026 • 11:00 AM

What's New in R82.20, Part 1: AI Security Lands Directly on the Check Point Firewall

R82.20 revolutionizes Check Point Firewalls with AI Security, enhancing visibility and protection against AI threats. It introduces Workforce AI Security and AI Agent Security, offering granular control without new infrastructure. This release also supports SNORT 3.x, IPv6 DNS Trap, and provides a transparent TLS Inspection Block page, ensuring robust, native security.
Blog
•Sep 7, 2026
data center with pink and green lights

Partner POV | Check Point Lays the Groundwork for the Future of AI Factory Security with NVIDIA

AI factories demand security that lives inside the infrastructure, not around it. NVIDIA's BlueField-4 and DOCA innovations, paired with Check Point's AI Factory Firewall, embed visibility and protection directly into the data path—securing autonomous, distributed AI operations at their source.
Partner Contribution
•Sep 4, 2026
a glowing neural network or circuit pattern being probed by scanning light beams

Getting Started with Check Point AI Red Teaming

Check Point's AI Red Teaming revolutionizes AI security by continuously testing models for adversarial weaknesses, replacing traditional, infrequent assessments. It offers dynamic risk evaluation across multiple languages and objectives, providing real-time protection and visibility. This automated platform empowers security teams to focus on genuine threats, enhancing AI application resilience.
Blog
•Aug 24, 2026

Connect with our Check Point experts!

Mike ChristmanSr Consultant
Brian CrouchTechnical Solutions Arch II
Scott PogueTechnical Solutions Arch III
Ryan MakelkySr Mgr, Practice

Check Point AI Security

Check Point's end-to-end AI infrastructure security — protecting GPU clusters, LLM workloads, containers, and APIs with Zero Trust and AI-native defense.

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