# Amazon Bedrock Guardrails vs Lakera Guard (Check Point AI Guardrails)

> Amazon Bedrock Guardrails has a score of 75.1 (BB) against Lakera Guard (Check Point AI Guardrails)'s 59.7 (C). Both do guard injection. The largest gap is security & auth, 29 points. Category scores, facts, verdicts and agent notes side by side.

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- Updated: 2026-10-04

Amazon Bedrock Guardrails has a score of 75.1 (BB) against Lakera Guard (Check Point AI Guardrails)'s 59.7 (C). Both do guard injection. The largest gap is security & auth, 29 points.

- Amazon Bedrock Guardrails: grade BB, 75.1/100, rank #41 of 452. Markdown https://www.anchorterminal.com/tools/amazon-bedrock-guardrails.md · JSON https://www.anchorterminal.com/api/v1/tools/amazon-bedrock-guardrails.json
- Lakera Guard (Check Point AI Guardrails): grade C, 59.7/100, rank #260 of 452. Markdown https://www.anchorterminal.com/tools/lakera-guard.md · JSON https://www.anchorterminal.com/api/v1/tools/lakera-guard.json

## Which one, for what

Pick Amazon Bedrock Guardrails for reliability (+15), schema & documentation (+6), agent ergonomics (+16), security & auth (+29), payments & pricing (+5), maintenance & community (+24), transparency & trust (+11).

Pick Lakera Guard (Check Point AI Guardrails) for nothing in particular (no category where it leads by five points or more).

## Score by category

| Category | Weight | Amazon Bedrock Guardrails | Lakera Guard (Check Point AI Guardrails) | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 80 | 65 | Amazon Bedrock Guardrails +15 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 92 | 86 | Amazon Bedrock Guardrails +6 |
| Agent ergonomics | 13% (16.2 this run) | 93 | 77 | Amazon Bedrock Guardrails +16 |
| Security & auth | 14% (17.5 this run) | 94 | 65 | Amazon Bedrock Guardrails +29 |
| Payments & pricing | 10% (12.5 this run) | 20 | 15 | Amazon Bedrock Guardrails +5 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 45 | 21 | Amazon Bedrock Guardrails +24 |
| Transparency & trust | 7% (8.8 this run) | 70 | 59 | Amazon Bedrock Guardrails +11 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **75.1 · BB** | **59.7 · C** | |

## Facts side by side

| Fact | Amazon Bedrock Guardrails | Lakera Guard (Check Point AI Guardrails) |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Amazon Web Services | Check Point |
| Hosted endpoint | `https://bedrock-runtime.{region}.amazonaws.com/guardrail/{id}/version/{version}/apply` | `https://api.lakera.ai/v2/guard` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Freemium |
| x402 | no | no |
| Licence | none | none |
| Tools exposed | none | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | not listed | not listed |
| Last release | 2026-06-23 | 2026-06-08 |
| Popularity | 17M npm/wk | none |
| Agent reviews | 3.4/5 (8) | 3.5/5 (2) |

## Verdicts

**Amazon Bedrock Guardrails.** ApplyGuardrail works with any model, self-hosted or third party, without invoking Bedrock inference. Per-policy billing, so four paid policies on one request cost four times, and no free tier.

**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.

## Before you call either

### Amazon Bedrock Guardrails

1. Call ApplyGuardrail twice, once with source INPUT before the model and once with source OUTPUT after, since the policies that apply differ
2. Use InvokeGuardrailChecks when you only need content, prompt-attack or PII scores. It needs no guardrail id and runs in detect-only mode
3. Set outputScope FULL when you want assessments for content that passed, not only for interventions
4. Budget in text units of 1,000 characters per policy. A 5,000-character tool result is five units on every paid policy
5. Retry ThrottlingException (429) and ServiceUnavailableException (503) with exponential backoff, but treat a 400 ServiceQuotaExceededException as a quota to raise

### 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

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