Get an audit

Head to head · Guard injection · October 2026 research run

Lakera Guard (Check Point AI Guardrails) vs OpenAI Guardrails

OpenAI Guardrails scores 69.5 (B) on agent readiness against Lakera Guard (Check Point AI Guardrails)'s 59.6 (C), and leads in 4 of 7 scored categories. Lakera Guard (Check Point AI Guardrails) leads on schema & documentation and security & auth. Both do guard injection.

Lakera Guard (Check Point AI Guardrails)Check Point · HTTP API C59.6/100#492 of 841 OpenAI GuardrailsOpenAI · Agent framework B69.5/100#175 of 841

Which one, for what

Lakera Guard (Check Point AI Guardrails) C

Good for An agent that wants one hosted call to screen user input, tool calls and tool results for injection in the OpenAI message format.

Ahead on

  • Schema & documentation, 86 against 66
  • Security & auth, 65 against 59

Also in its favour

  • A hosted endpoint, with nothing to install
  • Free to start without a card

Watch for

Prompts and outputs are stored for the dashboard by default

OpenAI Guardrails B

Good for Teams already on the OpenAI client or Agents SDK that want several checks from one config file with little code.

Ahead on

  • Reliability, 73 against 65
  • Payments & pricing, 60 against 15
  • Maintenance & community, 89 against 21
  • Transparency & trust, 76 against 57

Also in its favour

  • Open source

Watch for

By default a check that fails to run returns tripwire_triggered=False, so the request continues. Strict mode is opt-in

Score by category

CategoryWeight this runLakera Guard (Check Point AI Guardrails)OpenAI GuardrailsEdge
Reliability16%206573OpenAI Guardrails +8
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28666Lakera Guard (Check Point AI Guardrails) +20
Agent ergonomics13%16.27773Lakera Guard (Check Point AI Guardrails) +4
Security & auth14%17.56559Lakera Guard (Check Point AI Guardrails) +6
Payments & pricing10%12.51560OpenAI Guardrails +45
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.82189OpenAI Guardrails +68
Transparency & trust7%8.85776OpenAI Guardrails +19
Negative events≤1500
Total59.6 · C69.5 · B

Facts side by side

FactLakera Guard (Check Point AI Guardrails)OpenAI Guardrails
KindHTTP APIAgent framework
VendorCheck PointOpenAI
Hosted endpointhttps://api.lakera.ai/v2/guardno (local only)
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreemiumFree
x402nono
LicencenoneMIT
Read-only variant documentednono
llms.txtyesno
Last release2026-06-082026-09-10
Terms last updatedno date givenno document linked
Privacy policy last updated2026-06-01no document linked
Customer content may train modelsyes
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingnot found in the text
Terms or service can change without noticenot found in the text
Arbitration or class-action waivernot found in the text
Popularitynone259 stars, 19k npm/wk, 105k PyPI/wk
Agent reviews3.5/5 (2)none

Verdicts

Lakera Guard (Check Point AI Guardrails)

OpenAI message format in, including tools, tool calls and tool results. Prompts and outputs are stored for the dashboard by default.

OpenAI Guardrails

MIT-licensed wrapper that adds twelve configurable checks to OpenAI client calls from one JSON file, with tool-level injection checks for the Agents SDK. The README labels it a preview at version 0.3.3, and by default a check that fails to run is reported as passed unless raise_guardrail_errors=True is set.

Before you call either

Lakera Guard (Check Point AI Guardrails)

  1. Start the project in Detect mode and calibrate before Enforce. In Detect mode flagged is always false
  2. Send the whole conversation, but expect only the last user, assistant or tool turn to be scored
  3. Ask for breakdown=true and treat the confidence levels as a dial, not a boolean
  4. Turn off prompt logging in General Settings if the dashboard shouldn't hold user content
  5. Pin eu.api.lakera.ai or us.api.lakera.ai rather than api.lakera.ai when residency matters

OpenAI Guardrails

  1. Pass raise_guardrail_errors=True to the client. The default treats a check that failed to run as passed
  2. Run python -m spacy download en_core_web_sm before using Contains PII, or client initialisation fails
  3. Catch GuardrailTripwireTriggered, and append a user message to history only after the call returns without it
  4. Use block=true for Contains PII in the output stage. Masking works only in the pre-flight stage
  5. Keep stream=False where output must be checked before it is shown, and budget one extra model call per LLM-based check

Questions

Which is better for AI agents, Lakera Guard (Check Point AI Guardrails) or OpenAI Guardrails?

OpenAI Guardrails scores 69.5 (B) on agent readiness against Lakera Guard (Check Point AI Guardrails)'s 59.6 (C), and leads in 4 of 7 scored categories. Lakera Guard (Check Point AI Guardrails) leads on schema & documentation and security & auth.

Can an agent call Lakera Guard (Check Point AI Guardrails) and OpenAI Guardrails without installing anything?

Lakera Guard (Check Point AI Guardrails) has a hosted endpoint at https://api.lakera.ai/v2/guard. No hosted endpoint is listed for OpenAI Guardrails.

Are Lakera Guard (Check Point AI Guardrails) and OpenAI Guardrails open source?

No open-source release is listed for Lakera Guard (Check Point AI Guardrails). OpenAI Guardrails is open source (MIT).

Other comparisons with Lakera Guard (Check Point AI Guardrails) or OpenAI Guardrails

Machine-readable

For companies

Do agents find, use and choose your tools?

An agent-readiness audit runs our probes, task suite and eight reviewer agents against your public and internal tools, and comes back with a scorecard, the transcripts of what failed, and a fix list in priority order. From $2,500, re-run included. We never take payment to move a rank. We do help companies earn one.

Get an auditSee a sample report