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Check Point AI Guardrails

checkpoint.com

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Spec score 7.6 #10 of 31 in LLM Security Tools

What it is

Check Point AI Guardrails analyzes large-language-model inputs and outputs for prompt injection, data leakage, policy bypass attempts, unsafe content, and related AI threats. It provides threat intelligence, analytics, and developer tooling for securing AI applications. Deployment can be on premises or in a private cloud, with processed personal data kept in the customer’s controlled environment except for agreed support or maintenance. Check Point Firewalls can apply the service to generative and agentic AI traffic, including content moderation and MCP tool responses. Listed supported services include OpenAI, Claude, Gemini, and Mistral AI through developer APIs. A Copilot Studio integration combines runtime guardrails with data-loss prevention and threat prevention. The cloud service may process prompts, messages, tool information, enabled uploads, model outputs, and security analytics. Pricing is on request; retention lasts through the subscription and three months afterward.

Spec sheet

Purpose
AI Guardrails analyzes submitted LLM inputs and outputs to detect prompt injection, data leakage, policy bypass attempts, unsafe content, and other AI threats.Read 8 Oct 2026 · checkpoint.com
Headquarters
Tel Aviv, IsraelRead 28 Sep 2026 · checkpoint.com
Founded
1993Read 28 Sep 2026 · checkpoint.com
Copilot Studio integration
The Copilot Studio collaboration combines runtime AI Guardrails with DLP and threat prevention to protect agents from prompt injection, data leakage, and model misuse.Read 8 Oct 2026 · checkpoint.com
Data transfers
Check Point says its intercompany data transfer agreement includes EU standard contractual clauses and the UK addendum, and that it self-certified under the EU-U.S., UK Extension, and Swiss-U.S. Data Privacy Frameworks.Read 8 Oct 2026 · checkpoint.com
Deployment context
Check Point describes AI Guardrails as protecting enterprise use of LLM applications and AI Agent Security as governing agent interactions with prompts, tools, data, and actions in real time.Read 8 Oct 2026 · checkpoint.com
Firewall use
Check Point Firewalls can use AI Guardrails to protect generative and agentic AI traffic, including prompt injection protection, content moderation, and protection for MCP tool responses.Read 8 Oct 2026 · sc1.checkpoint.com
Personal data handling
The privacy sheet says the cloud service may process prompts, messages, system prompts, tool information, uploaded files when enabled, model outputs, and security analytics.Read 8 Oct 2026 · checkpoint.com
Prompt review privacy
AI Guardrails does not display the name of the user who uploaded a prompt and masks detected personal identifiers during prompt review.Read 8 Oct 2026 · checkpoint.com
Retention
The privacy sheet states that data is retained for the subscription duration and three months after termination.Read 8 Oct 2026 · checkpoint.com
Security tooling
The service provides structured threat intelligence, analytics, and developer tooling to secure AI applications.Read 8 Oct 2026 · checkpoint.com
Self-hosting
AI Guardrails is available on premises or in a private cloud, where processed personal data remains in the customer’s controlled environment except when needed for agreed support or maintenance.Read 8 Oct 2026 · checkpoint.com
Support subprocessors
Check Point lists Intercom for support services among the subprocessors for AI Guardrails, alongside providers for hosting, logging, and incident management.Read 8 Oct 2026 · checkpoint.com
Supported AI services
The firewall AI Agent Security guide lists OpenAI, Claude, Gemini, and Mistral AI among supported services accessed through developer APIs.Read 8 Oct 2026 · sc1.checkpoint.com

Plans and prices

Check Point AI Guardrails Priced on request Price and plan limits not stated on the pages reviewed; contact Check Point for enterprise access Read 8 Oct 2026 · checkpoint.com

Every Check Point AI Guardrails plan and price →

Strong points and limits

Strong points

  • Continuous monitoring of AI threats
  • On-premises and private-cloud deployment
  • Prompt injection defense and PII redaction
  • Reports include risk heatmaps
  • Supports major developer API services

Limits

  • Pricing requires contacting Check Point
  • Cloud processing may include prompts and uploads
  • Data retained three months after termination

Who it suits

It suits enterprises governing foundation models, custom deployments, live AI applications, and agents. Organizations needing hybrid deployment and continuous monitoring can assess it for their environment.

Verdict

AI Guardrails focuses on continuous controls for enterprise AI applications and agent interactions. Buyers should review its data handling, retention, deployment requirements, and on-request pricing before adoption.

Where Specifiction places it

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