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Check Point AI Guardrails

Check Point's AI Guardrails privacy datasheet describes analyzing submitted LLM inputs and outputs for prompt injection, data leakage and policy violations. The document explicitly identifies the product as Lakera Guard.

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01 / CONTEXT & SCOPE

Understand the proposition.
Define the boundary.

The decision to make

Evaluate both the intervention and the information sent to the service. An input or output scanner may need content that your organization considers sensitive, so the trial should examine the exact traffic path, analyst visibility and handling terms alongside the observed policy decision.

What this record does not establish

The privacy datasheet names AI Guardrails and Lakera Guard and describes input/output analysis. It does not establish your contractual retention terms, availability of every deployment mode or independent detection performance.

1 current source · 1 published assertion
Source coverage is a research boundary, not a quality score.

02 / YOUR EVALUATION

Turn interest into a useful trial.

Open the evaluation playbook ↗
A

A test worth running

Use synthetic protected values in a sandbox conversation, exercise a permitted request and a controlled leakage attempt, and inspect the content transmitted for analysis. Compare the output decision and analyst record, then test the configured behavior when the service is unreachable.

GovernAtlas editorial proposal. We have not performed this test.

B

Evidence to bring back

  1. Match the evaluated service and privacy terms to the current product identity and deployment being purchased.
  2. Record which content is transmitted, retained or visible to analysts and demonstrate the configured failure behavior.

03 / DOCUMENTED EVIDENCE

Read the claim. Inspect the basis.

Each statement retains its classification and preserved source. A vendor assertion is not an independent test result.

01
vendor asserted

Check Point's AI Guardrails privacy datasheet describes analyzing submitted LLM inputs and outputs for prompt injection, data leakage and policy violations. The document explicitly identifies the product as Lakera Guard. Scope: vendor documentation only; edition and availability boundaries require confirmation.

Source, dates & preserved provenanceCheck Point AI Guardrails — identity evidence ↗

Authority: vendor owned
Observed 2026-10-15 · Reviewed 2026-10-15 · current until 2026-11-14

Artifact SHA-256: 84a43ddc0b539fb61034308e69c361192de046c0f092c03d07d0a50d787d309f

The hash identifies the preserved capture. The live source may have changed.

Source register

Check Point AI Guardrails — identity evidence ↗vendor owned · captured 2026-10-15
Brand asset provenance

Organization identity asset from its official website; inclusion does not imply endorsement.

Official website ↗ · Original asset ↗

04 / BEFORE YOU COMMIT

Better questions.
A clearer decision.

Resolve these with the provider and your own evaluation team.

01

Which Lakera Guard identifiers and contracts map to the current Check Point AI Guardrails offering?

02

What deployment, retention and access-control evidence supports the intended use?

03

What underlying assurance documents are available, and which claims remain unverified?

Regulatory applicability requires a separate, current determination. Inclusion is not certification.

KEEP THE RECORD USEFUL

A dossier should stand up to scrutiny.

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