Securing Enterprise AI: Blueprint & Briefing

Tool: Securing Enterprise AI 
An Architecture Walkthrough

Evaluate your defense strategy at your own pace. Trace how threats navigate a reference architecture. Track data flows from public models down to private LLMs and bare-metal GPUs.

Built specifically for architects, security engineers, and platform teams who want to explore, rather than read another dry data sheet.

Interactive Highlights

01

Real-World Topologies

Visualize exactly where each control sits in the traffic path—from the corporate network and perimeter firewall clusters down to the VLAN segmentation between SLURM, developers, GPU servers, and out-of-band management.

02

Deployment Scenarios

Walk through modern defense patterns for public cloud AI tools, private/internal LLMs, autonomous agents, and Model Context Protocol (MCP) servers.

03

Adversary Modeling

See how real attacker behaviors apply to your infrastructure with deep-dive pages mapped directly to the MITRE ATT&CK and ATLAS frameworks.

04

Risk & Compliance

Master regulatory alignment with OWASP Top 10 for LLM risk categories mapped to regional data sovereignty requirements.

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Use this interactive tool to follow the journey of traffic, prompts, and responses through a production network path.
See exactly where layered security defenses intercept threats and instantly map each architectural scenario against the risk frameworks your leadership already tracks.

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Video: Architecting AI Data Center Security

Securing Private LLMs and Infrastructure Without Sacrificing GPU Performance

In this compact, 30-minute briefing, Check Point architecture experts deliver a comprehensive framework to harden the modern AI factory. Learn how to build a multi-layered defense securing everything from large scale network perimeter and prompt inspection down to the physical GPU silicon.

Key Architectural Modules Covered

01

The AI Data Center Shift

Defending infrastructure against autonomous, semantically manipulable assets capable of cascading action.

02

Inference Edge & API Hardening

Intercepting adversarial queries and prompt injections at the ingress traffic layer.

03

Hardware-Accelerated Security

Running inline threat prevention natively on NVIDIA BlueField DPUs with zero GPU performance tax.

04

Kubernetes Cluster Isolation

Enforcing east-west micro-segmentation to block lateral threat movement between tenant inference namespaces.

05

Agentic Layer Access Control

Applying dynamic Zero Trust validation and data exfiltration filtering to autonomous LLM endpoints.

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