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Head to head · Guard pii · October 2026 research run

Lakera Guard (Check Point AI Guardrails) vs Presidio

Presidio scores 66 (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, agent ergonomics and security & auth. Both do guard pii.

Lakera Guard (Check Point AI Guardrails)Check Point · HTTP API C59.6/100#374 of 629 PresidioData Privacy Stack · SDK + MCP B66/100#228 of 629

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 69
  • Agent ergonomics, 77 against 69
  • Security & auth, 65 against 53

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

Presidio B

Good for Detecting and masking personal data in prompts, outputs, logs and images on the owner's own machines, with detection tuned by entity, threshold and custom recognisers.

Ahead on

  • Reliability, 78 against 65
  • Payments & pricing, 60 against 15
  • Maintenance & community, 63 against 21
  • Transparency & trust, 65 against 57

Also in its favour

  • No key needed to call it
  • Open source

Watch for

The REST containers have no authentication by design. The FAQ says to put a gateway or proxy in front

Score by category

CategoryWeight this runLakera Guard (Check Point AI Guardrails)PresidioEdge
Reliability16%206578Presidio +13
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28669Lakera Guard (Check Point AI Guardrails) +17
Agent ergonomics13%16.27769Lakera Guard (Check Point AI Guardrails) +8
Security & auth14%17.56553Lakera Guard (Check Point AI Guardrails) +12
Payments & pricing10%12.51560Presidio +45
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.82163Presidio +42
Transparency & trust7%8.85765Presidio +8
Negative events≤1500
Total59.6 · C66 · B

Facts side by side

FactLakera Guard (Check Point AI Guardrails)Presidio
KindHTTP APISDK + MCP
VendorCheck PointData Privacy Stack
Hosted endpointhttps://api.lakera.ai/v2/guardno (local only)
TransportsHTTPHTTP
AuthAPI keyNone
PricingFreemiumFree
x402nono
LicencenoneMIT
Read-only variant documentednono
llms.txtyesno
Last release2026-06-082026-07-22
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
Popularitynone11k stars, 1.2M 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.

Presidio

MIT-licensed personal data detector with a public OpenAPI document, tests on Python 3.10 to 3.14 and about 1.2 million weekly PyPI downloads. The REST containers have no authentication, the project states no SLA or support, and it covers personal data only, with no prompt injection or content moderation checks.

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

Presidio

  1. Install from PyPI or pull images from ghcr.io/data-privacy-stack. The mcr.microsoft.com/presidio-* images are no longer updated
  2. Download a spaCy model (python -m spacy download en_core_web_lg) before the first AnalyzerEngine() call, or use the Docker image
  3. Send both text and language to /analyze. A request missing either returns HTTP 500 with a JSON error field
  4. Pass entities and score_threshold to limit results. Many country-specific recognisers are disabled by default and need enabling in the registry YAML
  5. Keep the containers on a private network or behind your own authenticating proxy. They accept any caller

Questions

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

Presidio scores 66 (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, agent ergonomics and security & auth.

Can an agent call Lakera Guard (Check Point AI Guardrails) and Presidio 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 Presidio.

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

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

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

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