SECURITY ATLAS / EVALUATION BRIEF
Check Point AI Guardrails
Research reviewed: 2026-10-18
https://atlasofsecurity.com/landscape/vendors/checkpoint-ai-guardrails/

THE ATLAS TAKE
Check Point AI Guardrails is a focused candidate for teams adding input/output inspection to an AI application. Its Lakera-origin API documentation supplies a usable integration surface, while the privacy sheet distinguishes hosted processing from self-hosted deployment. Atlas would begin with those two boundaries: what content leaves the application, and what the application does with the returned assessment. Inspection is useful, but a positive detection does not automatically stop a model call or revoke a tool permission. Broader agent-runtime capabilities need a separate technical and commercial review.

SCOPE
Scope this entry to the AI Guardrails input/output service. Broader Check Point AI Agent Runtime Security and workforce controls require their own integration review. The privacy sheet distinguishes hosted processing from a self-hosted deployment.

WORTH A LOOK WHEN
Application teams able to insert and operate an explicit content-inspection and enforcement step.

THINK TWICE WHEN
The requirement is universal agent authorization without application or traffic-path integration.

IMPLEMENTATION
1. Draw the content boundary
Identify fields sent for analysis, processing location and any sensitive data that should be minimized.

2. Implement policy handling
Test allowed and denied results plus timeout/error paths before connecting production actions.

3. Build an adjudicated evaluation set
Use synthetic injection and leakage examples alongside legitimate technical and business text to tune the intended application.

OPERATING REALITY
Application owners must maintain the inspection call, policy handling, timeout behavior and telemetry. Security owners must tune the policy against legitimate tasks and review exceptions. Sensitive prompt and response data should follow the selected hosted or self-hosted processing design, with an explicit retention and access understanding.

COMMERCIAL CONSIDERATIONS
Quote the selected Guardrails deployment and inspection scope. Separate broader AI Agent Runtime Security or workforce controls, and include integration engineering and sensitive-data handling.
- Inspection usage and selected deployment
- Hosted versus self-hosted operating responsibilities
- Application integration, evaluation and optional runtime modules

EVALUATION PLAN / PROPOSED TESTS, NOT COMPLETED RESULTS
1. Submit a benign and a synthetic injection sample
Acceptance evidence: Keep structured results and adjudicated outcomes.
Owner: __________  Pass criterion: __________
Observed result: __________  Evidence location: __________

2. Prove application denial before a protected action
Acceptance evidence: Correlate inspection result with model/tool access logs.
Owner: __________  Pass criterion: __________
Observed result: __________  Evidence location: __________

3. Interrupt inspection in a test environment
Acceptance evidence: Document timeout behavior and the user-visible recovery path.
Owner: __________  Pass criterion: __________
Observed result: __________  Evidence location: __________

QUESTIONS FOR THE VENDOR
- Which content is retained, in which region and for how long?
- What does application code do when the inspection service is unavailable?
- Which advertised agent-action controls are included in this exact offering?

EVIDENCE GAPS
- Atlas has not independently measured attack detection, false positives or latency.
- Confirm hosting, retention, supported content and current module entitlement.

SOURCES
Check Point: Guard API quickstart (Documentation)
https://docs.lakera.ai/docs/quickstart
Check Point: AI Guardrails privacy data sheet (Product information)
https://www.checkpoint.com/downloads/company/check-point-ai-guardrails-lakera-guard-privacy-datasheet.pdf
Check Point: AI Runtime Protection (Product information)
https://www.checkpoint.com/solutions/ai-runtime-protection/

Use synthetic fixtures in an authorized environment. Agree rollback and acceptance criteria before enforcement.
Documentation research and Atlas analysis. Independent hands-on effectiveness, effort, and complete price remain unassessed.