AIAI Governance StackFree kit

Lakera vs Amazon Bedrock Guardrails

Both compete in Runtime Enforcement & Guardrails. Lakera positions itself as “AI-native security platform guarding GenAI apps against prompt attacks and data loss”, while Amazon Bedrock Guardrailsleads with “Configurable safety, privacy and grounding safeguards for generative AI on AWS”. The table below compares what each publishes.

Where Lakera pulls ahead

Publishes support for EU AI Act, NIST AI RMF, which Amazon Bedrock Guardrails does not. Security teams needing continuously updated, model-agnostic runtime protection for GenAI apps

Where Amazon Bedrock Guardrails pulls ahead

Enterprises building generative AI on AWS that want native, IAM-governed safety and grounding controls

Lakera
Amazon Bedrock Guardrails
PositioningAI-native security platform guarding GenAI apps against prompt attacks and data lossConfigurable safety, privacy and grounding safeguards for generative AI on AWS
CategoryRuntime Enforcement & GuardrailsRuntime Enforcement & Guardrails
FrameworksEU AI Act, NIST AI RMFNone published
DeploymentSaaS, On-prem, APICloud, SaaS, API
Built forSecurity, Data Science / MLSecurity, Data Science / ML, Compliance
Founded20212024
HeadquartersZurich, SwitzerlandSeattle, Washington, USA
OwnershipAcquired by Check Point Software (announced 2025, ~$300M; deal expected to close Q4 2025)Feature of Amazon Web Services (Amazon.com, Inc.)
Funding~$30M total; $20M Series A (2024) led by Atomico with Citi Ventures and Dropbox VenturesN/A (feature of a publicly traded company)
PricingCommercial SaaS / enterprise licensing (free community tier for Lakera Guard)Usage-based, priced per 1,000 text units per policy (e.g., ~$0.15/1K units for content filters and denied topics; ~$0.10/1K for PII and contextual grounding)
Key capabilities
  • Lakera Guard real-time input/output screening
  • Prompt-injection and jailbreak detection
  • PII and data-loss protection
  • Content moderation
  • Gandalf-fed live threat intelligence
  • Automated red teaming (Lakera Red)
  • Configurable content filters with adjustable strength
  • Denied topics
  • Sensitive-information (PII) detection and redaction
  • Contextual grounding checks
  • Automated Reasoning checks for factual validation
  • ApplyGuardrail API for third-party and self-hosted models
IntegrationsOpenAI, Anthropic, Azure OpenAI, LangChain, Model-agnostic REST APIAmazon Bedrock foundation models, Bedrock Agents and Knowledge Bases, Third-party and self-hosted models via ApplyGuardrail API, AWS IAM and CloudWatch
Notable customersDropbox, Citi, Microsoft (Gandalf for security training)None published
Best forSecurity teams needing continuously updated, model-agnostic runtime protection for GenAI appsEnterprises building generative AI on AWS that want native, IAM-governed safety and grounding controls
LimitationsNow part of Check Point, so roadmap and packaging may shift toward that portfolio; focused on security rather than broad GRC/compliance workflow toolingTightly coupled to the AWS ecosystem; per-request evaluation adds cost and latency (input and output are billed separately); less portable than model-agnostic gateways

Which should you shortlist?

Choose Lakera if security teams needing continuously updated, model-agnostic runtime protection for GenAI apps

Choose Amazon Bedrock Guardrails if enterprises building generative AI on AWS that want native, IAM-governed safety and grounding controls

Neither is a substitute for a governance program. Whichever you pick, you still need people who can define the policies the tool enforces.

Full Lakera profile →Full Amazon Bedrock Guardrails profile →

AI Governance Tool Selection Kit

A vendor-comparison worksheet plus EU AI Act, NIST AI RMF and ISO/IEC 42001 requirement checklists — so you can shortlist tools against the obligations that actually apply to you.

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