Check Point AI Guardrails analyzes LLM inputs and outputs for threats such as prompt injection, jailbreaks, data exposure, data exfiltration, data leakage, policy bypass attempts, and unsafe content. It provides threat intelligence, analytics, and developer tools for securing AI applications, with continuous monitoring and controls including prompt injection defense, PII redaction, and output guardrails. The hybrid service can protect foundation models, custom deployments, live AI applications, and AI agents. It can run on premises or in a private cloud, keeping processed personal data in the customer’s controlled environment except when needed for agreed support or maintenance. Check Point Firewalls can apply it to generative and agentic AI traffic, including MCP tool responses; listed services accessed through developer APIs include OpenAI, Claude, Gemini, and Mistral AI. A Copilot Studio collaboration combines runtime guardrails with DLP and threat prevention. Reports include detailed findings, an executive summary, and a risk heatmap. The service is available via API, self-hosted deployment, and web. Pricing is on request.
Who it is for
It suits organizations securing enterprise LLM applications and AI agents across models, tools, data, and actions. Its on-premises and private-cloud options may suit teams that need processed personal data to remain in a controlled environment.
What is good
- Monitors AI threats continuously.
- Supports prompt injection defense, PII redaction, and output guardrails.
- Offers on-premises or private-cloud deployment.
- Exports detailed reports, executive summaries, and risk heatmaps.
- Firewall support includes generative and agentic AI traffic.
What to know first
- Pricing is available only on request.
- Cloud processing may include prompts, files, outputs, and analytics.
- Data is retained for three months after subscription termination.
Verdict
AI Guardrails combines threat detection, monitoring, and controls for LLM applications and agent interactions. Buyers should review its processing and retention terms and request pricing.
Get started with Check Point AI Guardrails
- Contact Check Point for enterprise access and pricing.
- Choose API, web, on-premises, or private cloud deployment.
- For firewall protection, use Check Point Firewalls with supported AI services accessed through developer APIs.
- For agent protection in Copilot Studio, use the described collaboration combining runtime guardrails with DLP and threat prevention.
Questions about Check Point AI Guardrails
How is Check Point AI Guardrails priced?
Pricing is on request.
Which deployment options are available?
The listed platforms are API, self-hosted, and web. Self-hosting is available on premises or in a private cloud.
What information may the cloud service process?
The privacy sheet says it may process prompts, messages, system prompts, tool information, enabled uploaded files, model outputs, and security analytics.
How long is data retained?
The privacy sheet states that data is retained for the subscription duration and three months after termination.
Which AI services are listed for firewall use?
The firewall AI Agent Security guide lists OpenAI, Claude, Gemini, and Mistral AI accessed through developer APIs.
Does it support prompt injection defense and personal information redaction?
Yes. Prompt injection defense and PII redaction are listed controls; output guardrails are also listed.
Check Point AI Guardrails plans and pricing
All plansCompared on LLM security tools
- Attack categories
- prompt injection; jailbreaks; data exposure; data exfiltration; harmful or policy-violating outputs; unsafe tool or function calling; agent workflow abuse; unauthorized actions; business-logic flaws; MCP tool exploitation; output integrity issues; model security weaknesses
- Target systems
- foundation models; custom model deployments; LLMs; live AI applications; AI agents; RAG applications; RAG pipelines; AI-integrated systems; agent endpoints
- Automation level
- continuous
- Continuous monitoring
- Yes
- Report exports
- detailed report; executive summary; risk heatmap; prioritized remediation roadmap
