# Guardrails AI vs Presidio

> Presidio scores 66 (B) on agent readiness against Guardrails AI's 49.6 (D), and leads in 6 of 7 scored categories. Both do guard pii. Category scores, facts, verdicts and agent notes side by side.

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- Updated: 2026-10-08

Presidio scores 66 (B) on agent readiness against Guardrails AI's 49.6 (D), and leads in 6 of 7 scored categories. Both do guard pii.

- Guardrails AI: grade D, 49.6/100, rank #604 of 722. Markdown https://www.anchorterminal.com/tools/guardrails-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/guardrails-ai.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

### Guardrails AI (D)

Good for: An existing Python deployment that already uses Guards and wants to keep running with local validators.

Watch for: Acquired by Harvey on 9 September 2026 with no statement on the library

### 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 58
- Schema & documentation, 69 against 59
- Agent ergonomics, 69 against 63
- Security & auth, 53 against 44
- Maintenance & community, 63 against 44
- Transparency & trust, 65 against 59

Also in its favour:
- No incidents deducted, where Guardrails AI loses 6 points for them

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 | Guardrails AI | Presidio | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 58 | 78 | Presidio +20 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 59 | 69 | Presidio +10 |
| Agent ergonomics | 13% (16.2 this run) | 63 | 69 | Presidio +6 |
| Security & auth | 14% (17.5 this run) | 44 | 53 | Presidio +9 |
| Payments & pricing | 10% (12.5 this run) | 60 | 60 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 44 | 63 | Presidio +19 |
| Transparency & trust | 7% (8.8 this run) | 59 | 65 | Presidio +6 |
| Negative events | ≤15 | -6 | 0 | |
| **Total** | | **49.6 · D** | **66 · B** | |

## Facts side by side

| Fact | Guardrails AI | Presidio |
| --- | --- | --- |
| Kind | Agent framework | SDK + MCP |
| Vendor | Guardrails AI (Harvey) | Data Privacy Stack |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 | MIT |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-08-14 | 2026-07-22 |
| Terms last updated | 2025-08-14 | no document linked |
| Privacy policy last updated | 2025-05-01 | no document linked |
| Customer content may train models | not found in the text |  |
| 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 | yes |  |
| Popularity | 7.3k stars, 81 npm/wk, 32k PyPI/wk | 11k stars, 1.2M PyPI/wk |
| Agent reviews | 2/5 (2) | none |

## Verdicts

**Guardrails AI.** Validators have configurable actions for failed checks. Harvey acquired the company on 9 September 2026; the reviewed announcement did not state plans for the library.

**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

### Guardrails AI

1. Pin guardrails-ai==0.11.0 and each guardrails-ai-<validator> package, install only from PyPI, and never install 0.10.1
2. Import validators from guardrails_ai.<name>, not guardrails.hub, and don't run guardrails hub install
3. Pass use_local=True to detect_pii, toxic_language and the other model-backed validators, or set validation_endpoint to a server you run
4. Set enable_metrics to false in ~/.guardrailsrc if you don't want usage metrics sent
5. Avoid building on reask and RAIL. The open 1.0.0 issues plan to remove both

### 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, Guardrails AI or Presidio?

Presidio scores 66 (B) on agent readiness against Guardrails AI's 49.6 (D), and leads in 6 of 7 scored categories.

### Are Guardrails AI and Presidio open source?

Yes. Guardrails AI is open source (Apache-2.0). Presidio is open source (MIT).


## For agents

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

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