Auth0 vs Depot
Side-by-side trajectory, velocity, and editorial themes.
Auth0 is re-tooling identity for AI agents and B2B multi-tenancy
Auth0 is shipping a dense stream of GA releases aimed squarely at two buyers: enterprises running B2B SaaS on Organizations, and developers wiring AI agents and partner services into their APIs. Recent work spans machine-to-machine access for third-party apps, organization-scoped Token Vault, delegated authorization, SCIM group provisioning, and passkey refinements. The dashboard itself is getting a navigation and search overhaul in beta.
The center of gravity is moving from human login toward non-human and delegated identity. M2M for third-party apps, RFC 8693 delegated authorization with actor claims, and DPoP sender constraining all point at agentic and service-to-service flows where no user is in the loop. B2B delegated administration (self-service SCIM, group-to-role mapping) is the parallel track, pushing configuration work out to enterprise customers.
Expect the Early Access agentic pieces — custom token exchange delegated authorization and scope-customization Actions — to march to GA next, alongside continued dashboard consolidation as the IA refresh exits beta.
Depot pushes its CI product toward agent control and test intelligence as it nears platform maturity.
Depot accelerates container builds and CI, and the recent stretch is almost entirely about maturing Depot CI from runner into platform. In a single window it shipped a GA API and CLI, a test-results product with cross-provider analytics, plus workflow browsing, usage tracking, nested virtualization, and AI failure diagnosis via Sherlock.
Depot is making Depot CI both programmable and observable: the GA API and CLI expose every dashboard action to scripts and agents, while test results and Sherlock add the diagnostic layer on top. Notably, the test analytics reach into GitHub Actions too — a wedge to pull Actions users onto Depot without forcing a full migration first.
Expect the API surface and test analytics to deepen together — agent-driven retries informed by flaky-test detection — as Depot positions CI as something agents operate, not just humans.
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