Head to head · Guard pii · October 2026 research run
Presidio vs OpenAI Guardrails
OpenAI Guardrails scores 69.5 (B) on agent readiness against Presidio's 66 (B), and leads in 4 of 7 scored categories. Presidio leads on reliability. Both do guard pii.
Which one, for what
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 73
Also in its favour
- No key needed to call it
Watch for
The REST containers have no authentication by design. The FAQ says to put a gateway or proxy in front
Good for Teams already on the OpenAI client or Agents SDK that want several checks from one config file with little code.
Ahead on
- Security & auth, 59 against 53
- Maintenance & community, 89 against 63
- Transparency & trust, 76 against 65
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
| Category | Weight this run | Presidio | OpenAI Guardrails | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 78 | 73 | Presidio +5 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 69 | 66 | Presidio +3 |
| Agent ergonomics | 13%16.2 | 69 | 73 | OpenAI Guardrails +4 |
| Security & auth | 14%17.5 | 53 | 59 | OpenAI Guardrails +6 |
| Payments & pricing | 10%12.5 | 60 | 60 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 63 | 89 | OpenAI Guardrails +26 |
| Transparency & trust | 7%8.8 | 65 | 76 | OpenAI Guardrails +11 |
| Negative events | ≤15 | 0 | 0 | |
| Total | 66 · B | 69.5 · B |
Facts side by side
| Fact | Presidio | OpenAI Guardrails |
|---|---|---|
| Kind | SDK + MCP | Agent framework |
| Vendor | Data Privacy Stack | OpenAI |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | None | API key |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | MIT | MIT |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-07-22 | 2026-09-10 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |
| Customer content may train models | ||
| Terms restrict automated access | ||
| Terms restrict benchmarking | ||
| Terms or service can change without notice | ||
| Arbitration or class-action waiver | ||
| Popularity | 11k stars, 1.2M PyPI/wk | 259 stars, 19k npm/wk, 105k PyPI/wk |
Verdicts
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.
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
Presidio
- Install from PyPI or pull images from ghcr.io/data-privacy-stack. The mcr.microsoft.com/presidio-* images are no longer updated
- Download a spaCy model (python -m spacy download en_core_web_lg) before the first
AnalyzerEngine()call, or use the Docker image - Send both text and language to
/analyze. A request missing either returns HTTP 500 with a JSON error field - Pass entities and score_threshold to limit results. Many country-specific recognisers are disabled by default and need enabling in the registry YAML
- Keep the containers on a private network or behind your own authenticating proxy. They accept any caller
OpenAI Guardrails
- Pass
raise_guardrail_errors=Trueto the client. The default treats a check that failed to run as passed - Run
python -m spacy download en_core_web_smbefore using Contains PII, or client initialisation fails - Catch
GuardrailTripwireTriggered, and append a user message to history only after the call returns without it - Use
block=truefor Contains PII in the output stage. Masking works only in the pre-flight stage - Keep
stream=Falsewhere 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, Presidio or OpenAI Guardrails?
OpenAI Guardrails scores 69.5 (B) on agent readiness against Presidio's 66 (B), and leads in 4 of 7 scored categories. Presidio leads on reliability.
Are Presidio and OpenAI Guardrails open source?
Yes. Presidio is open source (MIT). OpenAI Guardrails is open source (MIT).
Other comparisons with Presidio or OpenAI Guardrails
- Amazon Bedrock Guardrails vs OpenAI Guardrails
- Azure AI Content Safety (Prompt Shields) vs OpenAI Guardrails
- Cisco AI Defense Inspection API vs OpenAI Guardrails
- Google Cloud Model Armor vs OpenAI Guardrails
- Guardrails AI vs OpenAI Guardrails
- Lakera Guard (Check Point AI Guardrails) vs OpenAI Guardrails
- LlamaFirewall vs OpenAI Guardrails
- NVIDIA NeMo Guardrails vs OpenAI Guardrails
- OpenAI Guardrails vs Prisma AIRS AI Runtime Security API
- Granite Guardian vs OpenAI Guardrails
- Llama Guard 4 vs OpenAI Guardrails
- Mistral Moderation API vs OpenAI Guardrails
- OpenAI Guardrails vs OpenAI Moderation API
- Amazon Bedrock Guardrails vs Presidio
- Cisco AI Defense Inspection API vs Presidio
- Google Cloud Model Armor vs Presidio
- Guardrails AI vs Presidio
- Lakera Guard (Check Point AI Guardrails) vs Presidio
- LlamaFirewall vs Presidio
- Presidio vs Mistral Moderation API
- Presidio vs NVIDIA NeMo Guardrails
- Presidio vs Prisma AIRS AI Runtime Security API
- Granite Guardian vs Presidio
- Llama Guard 4 vs Presidio
Machine-readable
- This page as Markdown
/compare/microsoft-presidio-vs-openai-guardrails.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/microsoft-presidio.json·/api/v1/tools/openai-guardrails.json - From a terminal
anchor compare microsoft-presidio openai-guardrails(the CLI) - Over MCP
compare_tools {"a": "microsoft-presidio", "b": "openai-guardrails"}at/mcp, no key