Customer identity that has grown an agentic side — auth, consent, and token management for AI agents and MCP servers.
AI Governance comparison
Pricing, pros, cons, and ideal use cases — side by side.
Customer identity that has grown an agentic side — auth, consent, and token management for AI agents and MCP servers.
An enterprise platform for AI and ML security — scanning models for threats, securing the ML supply chain, and giving security teams visibility into AI risk.
| Descope | Protect AI | |
|---|---|---|
| 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. | EnterpriseEnterprise pricing, quoted per organization. |
| 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 | Enterprise security and ML platform teamsOrganizations using open-weight or third-party modelsTeams needing AI supply-chain security |
Descope is the lighter-weight option (Freemium), while Protect AI sits higher on the pricing ladder (Enterprise). Descope is built around product teams exposing an mcp server to third-party agents; Protect AI leans more toward enterprise security and ml platform teams. Shortlist the one whose strengths line up with your biggest constraint.
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