An enterprise AI governance and guardrails platform — permission-aware data access, policy enforcement, and audit logging for internal AI applications.
AI Governance comparison
Pricing, pros, cons, and ideal use cases — side by side.
An enterprise AI governance and guardrails platform — permission-aware data access, policy enforcement, and audit logging for internal AI applications.
Customer identity that has grown an agentic side — auth, consent, and token management for AI agents and MCP servers.
| Credal AI | Descope | |
|---|---|---|
| Pricing | EnterpriseEnterprise pricing, quoted per organization. | 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. |
| Category | AI Governance | AI Governance |
| Ideal for | Enterprises deploying internal AI assistantsRegulated industries with strict data controlsSecurity and governance teams | 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 |
Descope is the lighter-weight option (Freemium), while Credal AI sits higher on the pricing ladder (Enterprise). Credal AI is built around enterprises deploying internal ai assistants; Descope leans more toward product teams exposing an mcp server to third-party agents. Shortlist the one whose strengths line up with your biggest constraint.
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