Check Point AI Guardrails

Overview​

Check Point AI Guardrails is a runtime security layer for screening AI application inputs and outputs for prompt injection, data leakage, unsafe content and policy violations. It supports hosted and self-managed deployment, but policies require tuning and monitoring.

Best for​

Security and platform teams protecting LLM applications, RAG pipelines and AI agents against prompt injection, data loss and unsafe interactions

Pricing and availability​

Check Point AI Guardrails is an enterprise product with custom pricing based on deployment, protected traffic, capabilities and support. Public self-service pricing is not provided.

Platforms and integrations​

Available through: api.

The API evaluates prompts and model outputs and returns structured detections for application policy. Regional hosted endpoints and self-hosted deployment support cloud, private-cloud and on-premises architectures.

Privacy and security​

Hosted inspection processes submitted AI traffic under Check Point terms, while self-hosted options keep protected data in customer-controlled infrastructure. Teams must still define retention, logging and incident access.

Key strengths​

• Designed specifically for runtime AI application protection
• Covers prompt injection, leakage and policy violations
• Hosted and self-managed deployment options are documented

Key limitations​

• Enterprise pricing is not publicly transparent
• Policies and thresholds require application-specific tuning
• Guardrails reduce risk but cannot guarantee safe model behavior

Editorial note​

CoinBotLab independently maintains this record using current provider documentation and independent sources. Features, pricing, availability and policies can change.