DescopeFreemium
Customer identity that has grown an agentic side — auth, consent, and token management for AI agents and MCP servers.
AI Governance comparison
Descope vs Lakera
Pricing, pros, cons, and ideal use cases — side by side.
LakeraFreemium
An AI security platform that defends LLM applications against prompt injection, jailbreaks, data leakage, and other model-layer attacks.
At a glance
| Descope | Lakera | |
|---|---|---|
| Pricing | FreemiumFree Forever $0 with 7,500 MAUs. Pro from $249/month with 10,000 MAUs. Growth from $799/month with 25,000 MAUs. Enterprise is custom. Agentic usage is metered separately as Monthly Active Consents and Monthly Active Tokens, included at 2,000 each on Free, 5,000 each on Pro, and 10,000 each on Growth. | FreemiumFree tier for developers. Paid and enterprise plans for production protection. |
| Category | AI Governance | AI Governance |
| Ideal for | Product teams exposing an MCP server to third-party agentsSaaS companies adding agentic features that act on user dataStartups that need CIAM and agent identity from one vendorSecurity engineers who need consent and token use to be auditable | Enterprises exposing LLM apps to untrusted inputSecurity teams responsible for AI riskOrganizations handling sensitive data through AI |
Pros & cons
Descope
Pros
- Full price ladder published, including the agentic meters
- Consent and token management for MCP and outbound agent connections
- No-code flow builder alongside SDKs and APIs
- Generous free tier at 7,500 MAUs
- One vendor for customer identity and agent identity
Cons
- The $249 step from free is steep for a small product
- Two metering dimensions (MAU plus consents/tokens) make forecasting harder
- Migrating an existing identity provider is a serious project
- Solves identity, not tool-level authorisation — often you need both
- Agentic identity standards are still moving; expect the surface to change
Lakera
Pros
- Real-time defense against prompt injection and jailbreaks
- Continuously updated threat intelligence
- Addresses risks that generic security tools miss
- Backed by the Check Point security portfolio
Cons
- Model-layer security is a fast-evolving arms race
- One layer of a broader security strategy
- Production protection requires a paid plan
Which should you choose?
Descope is built around product teams exposing an mcp server to third-party agents; Lakera leans more toward enterprises exposing llm apps to untrusted input. Shortlist the one whose strengths line up with your biggest constraint.
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