WorkOS MCP Auth vs Lakera

Detailed side-by-side comparison to help you choose the right tool

WorkOS MCP Auth

🔴Developer

AI Security

WorkOS MCP review covering OAuth 2.1 authorization, PKCE, scopes, tool permissions, current AuthKit pricing context, use cases, risks, and alternatives.

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Starting Price

First 1 million active users free

Lakera

🔴Developer

AI Security

Real-time AI security platform that protects LLM applications from prompt injection, data exfiltration, jailbreaks, and unsafe outputs.

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Starting Price

Free

Feature Comparison

Scroll horizontally to compare details.

FeatureWorkOS MCP AuthLakera
CategoryAI SecurityAI Security
Pricing Plans2 listed plans3 listed plans
Starting PriceFirst 1 million active users freeFree
Key Features
  • • OAuth 2.1 authorization-server support for MCP applications
  • • PKCE for authorization-code flows
  • • Scopes and tool permissions for delegated access
  • • Sub-50ms prompt-injection and jailbreak detection API
  • • Indirect injection scanning for RAG-retrieved documents and tool outputs
  • • PII detection and redaction across prompts and responses

WorkOS MCP Auth - Pros & Cons

Pros

  • ✓Uses established delegated-authorization patterns instead of shared API keys
  • ✓Fits products already using WorkOS identity services
  • ✓Scopes can make agent permissions understandable to users and operators

Cons

  • ✗Authentication does not prevent unsafe tool design or excessive scopes
  • ✗The general pricing page does not isolate an MCP-specific price
  • ✗Adding an identity vendor creates operational and migration dependencies

Lakera - Pros & Cons

Pros

  • ✓Detection models trained on the largest public adversarial dataset (Gandalf, 60M+)
  • ✓Latency genuinely fast enough for synchronous inline use, not just async logging
  • ✓Both prompt and response screening in one API — covers the full I/O surface
  • ✓SOC 2 Type II + EU origin makes compliance conversations easier
  • ✓Open PINT benchmark gives credibility versus closed-evaluation competitors

Cons

  • ✗Pricing opacity makes early-stage budgeting hard — must talk to sales
  • ✗Free tier is small (1K req/month) — production prototypes hit limits fast
  • ✗Adds a network hop and per-call cost on top of the LLM bill
  • ✗Custom policies still require some prompt-engineering expertise to author
  • ✗No general-purpose content moderation beyond the LLM-security focus

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