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Identity & Access

UMAPI (Adobe User Management API) AI Integration

Connect UMAPI (Adobe User Management API) to BeforeQuery for grounded AI answers and agent actions across Identity & Access.

Connect UMAPI (Adobe User Management API)
What is it?

About UMAPI (Adobe User Management API)

UMAPI (Adobe User Management API) is one of the Identity & Access platforms BeforeQuery connects to. Once linked, the platform's data becomes a first-class source for grounded AI answers and a target for policy-gated agent actions — the same identity, approval, and audit-log guarantees every other integration ships with.

Setup

How to connect UMAPI (Adobe User Management API)

  1. Step 01

    In the BeforeQuery dashboard, go to Integrations → Identity & Access and select UMAPI (Adobe User Management API).

  2. Step 02

    Sign in to UMAPI (Adobe User Management API) with an account that has permissions to grant BeforeQuery the Identity & Access scopes required.

  3. Step 03

    Confirm the connection. UMAPI (Adobe User Management API) is now available as a source and action target for every playbook in your workspace.

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How BeforeQuery uses UMAPI (Adobe User Management API)

What the agent does with your UMAPI (Adobe User Management API) connection

  • 01

    Read user, group, and app-assignment data from UMAPI (Adobe User Management API) to feed the identity plane of the Context Graph.

  • 02

    Provision, deprovision, and update accounts across every app connected to UMAPI (Adobe User Management API) via SCIM.

  • 03

    Reset passwords, unlock accounts, and re-enroll MFA — self-service where policy allows, escalated where it doesn't.

  • 04

    Run periodic access reviews and just-in-time access requests with your approval matrix.

Use cases

What teams actually do with the UMAPI (Adobe User Management API) integration

Self-service account unlock

User in Slack: "my UMAPI (Adobe User Management API) is locked, unlock me?" → BeforeQuery verifies identity via MFA challenge, unlocks the account, and confirms in 10 seconds. No IT ticket, full audit trail.

Just-in-time production access

Engineer needs prod DB access for 4 hours. Requests in Slack with justification → BeforeQuery routes to security lead → on approval, grants access via UMAPI (Adobe User Management API) with auto-expire at 4-hour mark. Auto-revoked; audit-logged.

Quarterly access review

Every quarter, BeforeQuery pulls the full UMAPI (Adobe User Management API) access map, groups by team + role, and sends managers a review packet: "confirm each of your reports still needs these apps." One-click approve; unresponsive access is flagged for revocation.

Answer questions grounded in UMAPI (Adobe User Management API)

Employees and customers ask UMAPI (Adobe User Management API)-related questions in Slack, Teams, or the widget — BeforeQuery answers with the exact UMAPI (Adobe User Management API) record shown alongside the response. No context switching, no "log into Identity & Access to check" round-trips.

UMAPI (Adobe User Management API) — Frequently Asked Questions

Common questions about connecting BeforeQuery to UMAPI (Adobe User Management API).

Depends on the playbooks enabled. Read-only for Q&A. User-mgmt scopes for provisioning. Group-mgmt for access reviews. You approve each scope on install; you can remove scopes anytime and the corresponding playbooks disable automatically.
Only if explicitly scoped and approved. Policy writes always require a policy-owner approver, log the before/after state, and are fully reversible via the audit trail. Most customers keep policy writes off and use BeforeQuery for user-lifecycle actions only.
Standard OAuth 2.0 where UMAPI (Adobe User Management API) supports it, otherwise API-key or bearer-token auth. Credentials are stored encrypted at rest (AES-256-GCM) per workspace, never shared across customers, and rotated on request. The connection is scoped to the least-privilege set of scopes each playbook needs — you approve the scope list on install.
No. Your UMAPI (Adobe User Management API) data feeds only your workspace's own agents and answers. Nothing is used to train a shared model, and nothing crosses workspace boundaries. Bring-your-own-model is available on Enterprise if you want to pin inference to your own OpenAI / Anthropic / self-hosted deployment.
Yes. Every UMAPI (Adobe User Management API) integration is scoped at install time — you pick which resources, users, or record types are visible. You can further restrict per-playbook: a single playbook only touches the specific UMAPI (Adobe User Management API) objects it needs. Scope changes take effect on the next sync.
Every write is logged with the acting user, the playbook that fired it, the exact operation, the target entity IDs, and the timestamp — all in the immutable audit log. Writes are rehearsable in simulation mode against a copy of live data before they touch UMAPI (Adobe User Management API) for real.

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