Head to head · Guard injection · October 2026 research run

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.

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

CategoryWeight this runLakera Guard (Check Point AI Guardrails)LlamaFirewallEdge
Reliability16%206553Lakera Guard (Check Point AI Guardrails) +12
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28649Lakera Guard (Check Point AI Guardrails) +37
Agent ergonomics13%16.27760Lakera Guard (Check Point AI Guardrails) +17
Security & auth14%17.56556Lakera Guard (Check Point AI Guardrails) +9
Payments & pricing10%12.51550LlamaFirewall +35
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.82115Lakera Guard (Check Point AI Guardrails) +6
Transparency & trust7%8.85758LlamaFirewall +1
Negative events≤1500
Total59.6 · C50.8 · D

Facts side by side

FactLakera Guard (Check Point AI Guardrails)LlamaFirewall
KindHTTP APIAgent framework
VendorCheck PointMeta
Hosted endpointhttps://api.lakera.ai/v2/guardno (local only)
TransportsHTTP
AuthAPI keyNone
PricingFreemiumFree
x402nono
LicencenoneMIT (library). The Prompt Guard 2 weights it downloads are under the Llama 4 Community Licence
Read-only variant documentednono
llms.txtyesno
Last release2026-06-082025-05-29
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
Popularitynone4.4k stars, 1k 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.

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).

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

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