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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
Price and plan limits not stated on the pages reviewed; contact Check Point for enterprise access
Read 8 Oct 2026 · checkpoint.com
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