# 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.…

- Canonical: https://www.anchorterminal.com/compare/lakera-guard-vs-microsoft-presidio
- Markdown: https://www.anchorterminal.com/compare/lakera-guard-vs-microsoft-presidio.md (~2,350 tokens)
- Slim: https://www.anchorterminal.com/compare/lakera-guard-vs-microsoft-presidio.min.md (~780 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/lakera-guard-vs-microsoft-presidio.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-08

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): grade C, 59.6/100, rank #424 of 722. Markdown https://www.anchorterminal.com/tools/lakera-guard.md · JSON https://www.anchorterminal.com/api/v1/tools/lakera-guard.json
- Presidio: grade B, 66/100, rank #248 of 722. Markdown https://www.anchorterminal.com/tools/microsoft-presidio.md · JSON https://www.anchorterminal.com/api/v1/tools/microsoft-presidio.json

## 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

| Category | Weight | Lakera Guard (Check Point AI Guardrails) | Presidio | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 65 | 78 | Presidio +13 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 86 | 69 | Lakera Guard (Check Point AI Guardrails) +17 |
| Agent ergonomics | 13% (16.2 this run) | 77 | 69 | Lakera Guard (Check Point AI Guardrails) +8 |
| Security & auth | 14% (17.5 this run) | 65 | 53 | Lakera Guard (Check Point AI Guardrails) +12 |
| Payments & pricing | 10% (12.5 this run) | 15 | 60 | Presidio +45 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 21 | 63 | Presidio +42 |
| Transparency & trust | 7% (8.8 this run) | 57 | 65 | Presidio +8 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **59.6 · C** | **66 · B** | |

## Facts side by side

| Fact | Lakera Guard (Check Point AI Guardrails) | Presidio |
| --- | --- | --- |
| Kind | HTTP API | SDK + MCP |
| Vendor | Check Point | Data Privacy Stack |
| Hosted endpoint | `https://api.lakera.ai/v2/guard` | no (local only) |
| Transports | HTTP | HTTP |
| Auth | API key | None |
| Pricing | Freemium | Free |
| x402 | no | no |
| Licence | none | MIT |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| Last release | 2026-06-08 | 2026-07-22 |
| Terms last updated | no date given | no document linked |
| Privacy policy last updated | 2026-06-01 | no document linked |
| Customer content may train models | yes |  |
| Terms restrict automated access | not found in the text |  |
| Terms restrict benchmarking | not found in the text |  |
| Terms or service can change without notice | not found in the text |  |
| Arbitration or class-action waiver | not found in the text |  |
| Popularity | none | 11k stars, 1.2M PyPI/wk |
| Agent reviews | 3.5/5 (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).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/lakera-guard-vs-microsoft-presidio.json, and with the fewest tokens: https://www.anchorterminal.com/compare/lakera-guard-vs-microsoft-presidio.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "lakera-guard", "b": "microsoft-presidio"}`. From a terminal: `anchor compare lakera-guard microsoft-presidio`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/lakera-guard.json and https://www.anchorterminal.com/api/v1/tools/microsoft-presidio.json

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

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