AIAI Governance StackFree kit

Amazon Bedrock Guardrails vs Prompt Security

Both compete in Runtime Enforcement & Guardrails. Amazon Bedrock Guardrails positions itself as “Configurable safety, privacy and grounding safeguards for generative AI on AWS”, while Prompt Securityleads with “Runtime security for enterprise GenAI usage, applications, and AI agents”. The table below compares what each publishes.

Where Amazon Bedrock Guardrails pulls ahead

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

Where Prompt Security pulls ahead

Publishes support for NIST AI RMF, EU AI Act, GDPR, which Amazon Bedrock Guardrails does not. Security teams governing sanctioned and shadow GenAI use while protecting homegrown AI apps and agents

Amazon Bedrock Guardrails
Prompt Security
PositioningConfigurable safety, privacy and grounding safeguards for generative AI on AWSRuntime security for enterprise GenAI usage, applications, and AI agents
CategoryRuntime Enforcement & GuardrailsRuntime Enforcement & Guardrails
FrameworksNone publishedNIST AI RMF, EU AI Act, GDPR
DeploymentCloud, SaaS, APISaaS, On-prem, API
Built forSecurity, Data Science / ML, ComplianceSecurity, Risk, Compliance
Founded20242023
HeadquartersSeattle, Washington, USATel Aviv, Israel
OwnershipFeature of Amazon Web Services (Amazon.com, Inc.)Acquired by SentinelOne (announced August 2025, reported ~$250M)
FundingN/A (feature of a publicly traded company)~$23M total; investors include Hetz Ventures, Jump Capital, Ridge Ventures, Okta, F5
PricingUsage-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)Enterprise licensing / subscription
Key capabilities
  • 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
  • Real-time GenAI usage visibility
  • Policy-based prompt and data controls
  • Sensitive-data leakage prevention
  • Prompt-injection and jailbreak prevention
  • MCP gateway security
  • Model-agnostic coverage across major LLMs
IntegrationsAmazon Bedrock foundation models, Bedrock Agents and Knowledge Bases, Third-party and self-hosted models via ApplyGuardrail API, AWS IAM and CloudWatchOpenAI, Anthropic, Google, Browser extensions / proxy, MCP servers, Enterprise SSO/SIEM
Notable customersNone publishedNone published
Best forEnterprises building generative AI on AWS that want native, IAM-governed safety and grounding controlsSecurity teams governing sanctioned and shadow GenAI use while protecting homegrown AI apps and agents
LimitationsTightly coupled to the AWS ecosystem; per-request evaluation adds cost and latency (input and output are billed separately); less portable than model-agnostic gatewaysBeing integrated into SentinelOne, so standalone roadmap may converge with that platform; primarily security-focused rather than a full GRC/compliance suite

Which should you shortlist?

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

Choose Prompt Security if security teams governing sanctioned and shadow GenAI use while protecting homegrown AI apps and agents

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

Full Amazon Bedrock Guardrails profile →Full Prompt Security profile →

AI Governance Tool Selection Kit

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