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Check Point AI Guardrails

Tel Aviv, Israel

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 other AI threats. It provides threat intelligence, analytics, and developer tools for securing AI applications. The service supports foundation models, custom model deployments, live AI applications, and AI agents, with continuous monitoring and a hybrid deployment model. Controls include prompt-injection defense, personally identifiable information redaction, and output guardrails. Reports can include detailed findings, an executive summary, a risk heatmap, and a prioritized remediation roadmap. AI Guardrails can run on premises or in a private cloud, keeping processed personal data in the customer’s controlled environment except for agreed support or maintenance. Its privacy sheet says cloud processing may include prompts, tool information, enabled uploads, model outputs, and security analytics. Pricing is available on request.

For and against

For

  • Continuous monitoring of AI threats
  • Hybrid, on-premises, and private-cloud deployment
  • Prompt injection defense and output controls
  • PII masking during prompt review
  • Detailed and executive reporting options

Against

  • Pricing requires contacting Check Point
  • Cloud processing may include prompts and uploads
  • Data retained during subscription and three months afterward

The verdict

AI Guardrails combines threat detection, privacy controls, reporting, and developer tooling for enterprise AI deployments. Buyers should review its data handling and request pricing for their environment.

Who it suits

It is aimed at organizations governing enterprise LLM applications and agent interactions. It suits teams needing continuous monitoring across models, tools, data, and actions.

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

Every plan, in full

On the record

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.checkpoint.com · read 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.checkpoint.com · read 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.checkpoint.com · read 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.sc1.checkpoint.com · read 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.checkpoint.com · read 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.checkpoint.com · read 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.checkpoint.com · read 8 Oct 2026
Retention
The privacy sheet states that data is retained for the subscription duration and three months after termination.checkpoint.com · read 8 Oct 2026
Security tooling
The service provides structured threat intelligence, analytics, and developer tooling to secure AI applications.checkpoint.com · read 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.checkpoint.com · read 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.sc1.checkpoint.com · read 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.checkpoint.com · read 8 Oct 2026

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