# Lakera Guard (Check Point AI Guardrails) vs LlamaFirewall

> Lakera Guard (Check Point AI Guardrails) scores 59.6 (C) on agent readiness against LlamaFirewall's 50.8 (D), and leads in 5 of 7 scored categories. LlamaFirewall leads on payments & pricing. Both do guard injection. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/lakera-guard-vs-llamafirewall
- Markdown: https://www.anchorterminal.com/compare/lakera-guard-vs-llamafirewall.md (~2,800 tokens)
- Slim: https://www.anchorterminal.com/compare/lakera-guard-vs-llamafirewall.min.md (~780 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/lakera-guard-vs-llamafirewall.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: 2026-10-09

Lakera Guard (Check Point AI Guardrails) scores 59.6 (C) on agent readiness against LlamaFirewall's 50.8 (D), and leads in 5 of 7 scored categories. LlamaFirewall leads on payments & pricing. Both do guard injection.

- Lakera Guard (Check Point AI Guardrails): grade C, 59.6/100, rank #492 of 842. Markdown https://www.anchorterminal.com/tools/lakera-guard.md · JSON https://www.anchorterminal.com/api/v1/tools/lakera-guard.json
- LlamaFirewall: grade D, 50.8/100, rank #682 of 842. Markdown https://www.anchorterminal.com/tools/llamafirewall.md · JSON https://www.anchorterminal.com/api/v1/tools/llamafirewall.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:
- Reliability, 65 against 53
- Schema & documentation, 86 against 49
- Agent ergonomics, 77 against 60
- Security & auth, 65 against 56
- Maintenance & community, 21 against 15

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

### LlamaFirewall (D)

Good for: A Python agent team that wants injection, hidden-character and generated-code checks in process, is willing to pin dependencies or install from main, and can get the gated weights.

Ahead on:
- Payments & pricing, 50 against 15

Also in its favour:
- No key needed to call it
- Open source

Watch for: No PyPI release since 1.0.3 on 29 May 2025, and no changelog, tags or deprecation notes were found


## Score by category

| Category | Weight | Lakera Guard (Check Point AI Guardrails) | LlamaFirewall | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 65 | 53 | Lakera Guard (Check Point AI Guardrails) +12 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 86 | 49 | Lakera Guard (Check Point AI Guardrails) +37 |
| Agent ergonomics | 13% (16.2 this run) | 77 | 60 | Lakera Guard (Check Point AI Guardrails) +17 |
| Security & auth | 14% (17.5 this run) | 65 | 56 | Lakera Guard (Check Point AI Guardrails) +9 |
| Payments & pricing | 10% (12.5 this run) | 15 | 50 | LlamaFirewall +35 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 21 | 15 | Lakera Guard (Check Point AI Guardrails) +6 |
| Transparency & trust | 7% (8.8 this run) | 57 | 58 | LlamaFirewall +1 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **59.6 · C** | **50.8 · D** | |

## Facts side by side

| Fact | Lakera Guard (Check Point AI Guardrails) | LlamaFirewall |
| --- | --- | --- |
| Kind | HTTP API | Agent framework |
| Vendor | Check Point | Meta |
| Hosted endpoint | `https://api.lakera.ai/v2/guard` | no (local only) |
| Transports | HTTP |  |
| Auth | API key | None |
| Pricing | Freemium | Free |
| x402 | no | no |
| Licence | none | MIT (library). The Prompt Guard 2 weights it downloads are under the Llama 4 Community Licence |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| Last release | 2026-06-08 | 2025-05-29 |
| 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 | 4.4k stars, 1k 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.

**LlamaFirewall.** One `scan()` call runs several checks on the owner's machine and returns a short typed result. The last PyPI release is 1.0.3 from 29 May 2025, and its Prompt Guard loader imports a `huggingface_hub` class that current versions no longer export, so a fresh install needs older pins. The classifier weights also need Meta's manual approval.

## 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

### LlamaFirewall

1. Pin `huggingface_hub` below 1.0 and a matching `transformers` 4.x before importing the Prompt Guard scanner from the 1.0.3 wheel, or install from main
2. Get access to `meta-llama/Llama-Prompt-Guard-2-86M` and set a Hugging Face token first. Without one the loader prompts for a login and a headless run stalls
3. Call `scan_async` inside a running event loop. `scan()` wraps `asyncio.run` and fails there. `scan_async` returns score 0.0 and reason `default` on every allow
4. Split text longer than 512 tokens yourself before a Prompt Guard scan. The library truncates and does not chunk
5. Do not feed a block `reason` back to the model. The Prompt Guard reason quotes the full scanned text, and the hidden ASCII reason decodes the hidden payload

## Questions

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

Lakera Guard (Check Point AI Guardrails) scores 59.6 (C) on agent readiness against LlamaFirewall's 50.8 (D), and leads in 5 of 7 scored categories. LlamaFirewall leads on payments & pricing.

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

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

No open-source release is listed for Lakera Guard (Check Point AI Guardrails). LlamaFirewall is open source (MIT (library). The Prompt Guard 2 weights it downloads are under the Llama 4 Community Licence).


## For agents

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

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