
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…
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.
| Plan | Price | What it gives you |
|---|---|---|
| Check Point AI Guardrails | Priced on request | Price 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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