CP

AI Factory Firewall

Infrastructure service

by Check Point Software Technologies

Check Point security software for AI data centres and neocloud providers that runs on NVIDIA BlueField DPUs beside GPU servers, providing network, host and code-level protection against model theft, data poisoning, model inversion and exfiltration without taking compute from AI workloads, with multi-tenant management.

Find alternatives to AI Factory Firewall

What it does

• Threat detection and response

Features 3

• DPU-level runtime protectionAI-native runtime protection integrated at the DPU level.
• Multi-tenant architectureMulti-tenant architecture with dedicated security per business unit.
• Code, host and network securityCode, host and network-level security against AI threats.

Sources

Pricing

Not found · 10 Oct 2026

No price on the page or the A-Z index.

Description

Official documentation · 10 Oct 2026

"AI Factory Firewall integrates with NVIDIA to secure enterprise and service provider AI infrastructure at scale." "Tamper-proof code, network and host-level security to prevent data poisoning, model theft, and exfiltration." "Security runs on NVIDIA's BlueField 3 DPU, so it does not impact AI performance"; "Enable multi-tenant architecture".

What it does

Official documentation · 10 Oct 2026

"Protect against AI threats including model inversion, model theft, and other attack vectors". Admitted on the AI-specific need (securing AI training and inference infrastructure), not on AI inside the product.

Sold within

Not found · 10 Oct 2026

Routes are Book a Demo and an AI Data Center Blueprint; no page read states a price or packaging.

Name

Official documentation · 10 Oct 2026

Page heading "AI Factory Firewall".

URL

Official documentation · 10 Oct 2026

Check Point's own page; the A-Z index lists "AI Factory Firewall" and the menu link checkpoint.com/ai/cloudprotect/ redirects here.

Deployment

Official documentation · 10 Oct 2026

Runs on DPUs inside the customer's own AI data centre.

Intended for

Official documentation · 10 Oct 2026

"enterprises and neocloud providers".

Also from Check Point Software Technologies

• ThreatCloud AI Platform

  Check Point's threat-intelligence and prevention engine, fed by telemetry from 150,000 connected networks and millions of endpoints, that runs more than 50 AI and traditional engines for zero-day phishing, unknown malware, anomaly and DNS-tunnelling detection and shares verdicts across Check Point's network, cloud, endpoint and workspace products.

• Workforce AI Security Application

  Discovers which AI apps, browser extensions, coding assistants, desktop agents and MCP tools employees use, sanctioned or shadow, and applies per-app policy and AI-powered data-loss prevention that redacts sensitive data from prompts, uploads and files, deployed through a browser extension or desktop agent.

• AI Agent Security API service

  Runtime security for AI applications and agents, formerly Lakera Guard: inventories agents across cloud and low-code platforms, scores each agent's risk, restricts which tools and MCP servers it may call, and screens prompts, responses and tool use for prompt injection, data leakage and unauthorised actions.

• AI Red Teaming Developer tool

  Automated adversarial testing of models, AI applications and agent endpoints that runs broad scans and targeted campaigns across 400+ foundation models, generates context-specific attack inputs, and re-runs them after model or prompt changes to catch regressions in safety and security.

• Check Point AI Assist Application

  Generative AI assistant for security administrators, formerly AI Copilot, that knows a customer's policies, access rules, objects and logs and answers in chat, creating and updating firewall and DLP rules, guiding incident investigation and writing playbooks across the Check Point platform.

• Agentic Network Security Orchestration AI agent

  Multi-agent system for network security operations in which specialist AI agents, coordinated by a master orchestrator over a live knowledge graph of the customer's topology and rulebase, turn plain-language intent into firewall rules, tighten over-permissive policy, troubleshoot failing flows and map changes to DORA, PCI-DSS and NIST, with high-impact changes routed for human approval.

• Agentic Exposure Validation AI agent

  Uses AI agents that reason like an attacker to test whether each vulnerability, leaked credential or exposed asset is actually exploitable, enriching findings with live threat intelligence, checking existing controls, running safe attacker-style validations reviewed by a separate AI safety reviewer, and returning only proven exposures.

• AI Network Firewall Application

  AI-traffic inspection delivered in Check Point firewall software release R82.20, so an existing physical or virtual Check Point firewall discovers employees' AI apps and agents, governs MCP traffic, stops sensitive data leaving in prompts and blocks prompt injection inline before it reaches an LLM.

• Check Point Email Security Application

  Check Point Email Security uses AI to investigate and prevent email threats.

• Check Point XDR Platform

  Check Point XDR correlates security events to uncover and prevent cyberattacks using AI.

Open Check Point Software Technologies in the directory

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