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Check Point AI Guardrails

Check Point AI Guardrails analyzes large language model inputs and outputs for threats such as prompt injection, data leakage, policy bypass attempts and uns…

Place
#24 of 31
Score
5.4
Check Point AI Guardrails's website

What Check Point AI Guardrails is

Check Point AI Guardrails analyzes large language model inputs and outputs for threats such as prompt injection, data leakage, policy bypass attempts and unsafe content. It provides threat intelligence, analytics and developer tools for AI application security, with continuous monitoring and controls including prompt injection defense, personal information redaction and output guardrails. The listed attack categories also include jailbreaks, data exposure and data exfiltration. It can be deployed on premises or in a private cloud, keeping processed personal data in the customer’s controlled environment except when required for agreed support or maintenance. Check Point Firewalls can apply it to generative and agentic AI traffic, including content moderation and protection for MCP tool responses. Supported services listed in the firewall guide include OpenAI, Claude, Gemini and Mistral AI through developer APIs. A Copilot Studio collaboration combines runtime guardrails with DLP and threat prevention. The cloud service may process prompts, messages, tool information, enabled uploads, model outputs and security analytics. Data is retained for the subscription and three months afterward. Pricing is available on request.

Good

  • Analyzes LLM inputs and outputs for multiple threat types.
  • Offers on-premises and private-cloud deployment.
  • Includes prompt defense, personal information redaction and output controls.
  • Exports detailed reports, executive summaries and risk heatmaps.

Watch out

  • Pricing is available on request.
  • Cloud data retention extends three months after subscription termination.
  • The cloud service may process prompts, messages and uploaded files.

Who it suits

It is aimed at organizations securing enterprise LLM applications and AI agents. It may suit teams seeking continuous monitoring across prompts, tools, data and actions, with on-premises or private-cloud deployment options.

Verdict

AI Guardrails combines LLM threat detection with controls, analytics and several deployment options. Buyers should review its data handling and retention terms and request pricing for enterprise access.

Plans and prices

From Check Point AI Guardrails's own pricing page, checked 8 Oct 2026.

All about pricing
PlanPriceWhat it gives you
Check Point AI GuardrailsPriced on requestPrice and plan limits not stated on the pages reviewed; contact Check Point for enterprise access

The facts

Each one read from Check Point AI Guardrails's own pages, with the date it was checked.

What it does

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.checked 8 Oct 2026
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.checked 8 Oct 2026
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.checked 8 Oct 2026
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.checked 8 Oct 2026
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.checked 8 Oct 2026
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.checked 8 Oct 2026
Purpose
AI Guardrails analyzes submitted LLM inputs and outputs to detect prompt injection, data leakage, policy bypass attempts, unsafe content, and other AI threats.checked 8 Oct 2026
Retention
The privacy sheet states that data is retained for the subscription duration and three months after termination.checked 8 Oct 2026
Security tooling
The service provides structured threat intelligence, analytics, and developer tooling to secure AI applications.checked 8 Oct 2026
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.checked 8 Oct 2026
Supported AI services
The firewall AI Agent Security guide lists OpenAI, Claude, Gemini, and Mistral AI among supported services accessed through developer APIs.checked 8 Oct 2026
Support subprocessors
Check Point lists Intercom for support services among the subprocessors for AI Guardrails, alongside providers for hosting, logging, and incident management.checked 8 Oct 2026

The company

Founded
1993checked 28 Sep 2026
Headquarters
Tel Aviv, Israelchecked 28 Sep 2026

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