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Connector

Okta Datagrid integration

Okta Datagrid integration

Connect Okta with Datagrid to automate identity reviews and System Log analysis.

Connect Okta to Datagrid
ProductIntegrationsOkta Datagrid integration

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OverviewHow to integrate Okta with DatagridWhy use Okta with DatagridWhat you can build with Okta Datagrid integrationResources and documentationFrequently asked questionsSimilar integrationsBrowse by category

Overview

What is Okta: Okta is an independent identity provider delivered as a multi-tenant cloud service. It runs single sign-on, multi-factor authentication, lifecycle management, and identity governance for workforce and customer identities. IT and identity teams use Okta to manage access from hire to retire across connected applications and directories.

Okta

How to integrate Okta with Datagrid

Datagrid agents can read user profiles, group memberships, application assignments, and System Log events through an Okta API integration. The integration syncs identity records and event data so agents analyze access, flag anomalies, and generate audit reports.

Follow the setup in the same order as the workflow below: register an Okta API service integration, configure OAuth client credentials, then sync Okta identity and event data.

Register an Okta API service integration

Start in Okta with an API service integration that uses scoped access instead of manual exports. These setup steps define what Datagrid agents can read from the Okta org.

  1. In Okta, sign in as a Super Admin. Only the Super Admin role can grant scopes to an app.

  2. In the Admin Console, build an API service integration using the Client Credentials flow.

  3. Register the scopes the integration needs, such as okta.users.read, okta.groups.read, okta.apps.read, and okta.logs.read. Scopes must be pre-registered at setup. Unregistered scopes cannot be requested.

  4. Authorize the integration in your Okta org before Okta accepts token requests.

  5. In Datagrid, configure the Okta integration or workflow and supply your org subdomain and the registered client credentials.

A read-focused integration should include the same scopes in the Okta service integration and the Datagrid workflow configuration.

okta_connection: org_subdomain: "" auth_flow: "OAuth 2.0 Client Credentials" scopes: - okta.users.read - okta.groups.read - okta.apps.read - okta.logs.read

Configure OAuth client credentials

Datagrid uses OAuth 2.0 Client Credentials, the method Okta recommends for machine-to-machine integrations. Okta's API integration guide covers the Client Credentials setup for service integrations. Access tokens are scoped and expire in 3,600 seconds. Service integrations use the Org authorization server built into each Okta org instead of a custom server.

okta_token_request: auth_flow: "OAuth 2.0 Client Credentials" authorization_server: "Org authorization server" token_lifetime_seconds: 3600 scopes: - okta.users.read - okta.groups.read - okta.apps.read - okta.logs.read

For write-back, grant explicit manage scopes and configure a workflow for those operations. Manage scopes include read access.

Sync Okta identity and event data

Datagrid can read Okta users and groups through Okta API read scopes. The System Log is read-only and provides near real-time event access. Okta retains a 90-day window of System Log events. Log-based use cases need continuous streaming from day one.

Use this sync map to decide which Okta records each agent workflow should read.

  • User profiles: Validate onboarding, offboarding, and role changes.

  • Group memberships: Cross-check entitlements for access certification.

  • Application assignments: Document app-level access for audit packages.

  • System Log events: Detect authentication, lifecycle, and risk anomalies.

  • Event-hook-eligible events: Trigger workflows for supported deactivations, token grants, and risk changes.

Why use Okta with Datagrid

Okta centralizes identity data. Datagrid turns that identity data into completed reviews and audit documentation, with anomaly analysis built into the workflow. Here's why use Okta integration with Datagrid:

  • Automated access certification: Agents read user and group entitlements. They cross-check entitlements against Okta Identity Governance reports. Then they assemble certification packages for GRC teams. Pair this with agents for compliance reporting to route packages automatically.

  • System Log analysis without exports: Agents query the System Log API directly and parse authentication and lifecycle events. They flag anomalies for identity teams. See our identity audit guide for setup patterns.

  • Scoped, short-lived access: Datagrid uses OAuth 2.0 Client Credentials with scoped tokens, so the integration never carries admin-level access tied to a single user.

  • Event-driven workflows: Okta event hooks push eligible deactivations, token grants, and risk changes to Datagrid as they happen. Datagrid agents act without polling for supported event types.

What you can build with Okta Datagrid integration

Datagrid agents execute identity workflows that usually require exports, spreadsheets, and repeated review cycles. Here are some examples of what you can build:

  • Access certification report generator: Build an agent that reads group memberships and application assignments. It compares them against Application Access report data. Then it drafts a certification package for each reviewer.

  • System Log anomaly detector: Build an agent that polls the System Log API, correlates login failures across systems, and raises an alert when failures cross a threshold. The agent handles the System Log cursor that always returns a next link to avoid infinite loops.

  • Onboarding audit tracker: Build an agent that reads SCIM provisioning records when HR data changes, confirms the new user received the correct group memberships, and documents the change for audit.

Resources and documentation

  • Core Okta API reference is the primary reference for users, groups, apps, and logs.

  • API integration guide covers Client Credentials flow setup for machine-to-machine access.

Frequently asked questions

Should I use an SSWS API token or OAuth 2.0 for the integration?

Okta strongly recommends OAuth 2.0 for short-lived, scoped access tokens. SSWS tokens inherit the full privilege level of the admin who created them and have no scope granularity. For machine-to-machine integrations like Datagrid, use a service app with the Client Credentials flow.

How far back can Datagrid agents read System Log events?

Datagrid agents can read events within Okta's System Log retention window. Date ranges longer than 90 days result in an error, and events older than 90 days are not recoverable. Set up continuous streaming if you need long-term retention for compliance analysis.

What event types can trigger a Datagrid agent through event hooks?

Okta event hooks fire on eligible lifecycle and security events such as user deactivations and token grants. Agents subscribe to specific event types and act the moment Okta sends the outbound notification.

Similar integrations

  • Amazon AWS S3 archives and ingests Okta System Log events or EventBridge exports into S3 for long-term storage and downstream processing.

  • Snowflake syncs Okta user and group provisioning data to Snowflake to analyze entitlements, access certifications, and audit-ready reports.

  • Databricks transforms and enriches streamed Okta logs in Databricks for anomaly detection, audit pipelines, and machine-learning risk scoring.

  • Slack delivers Okta alerts, event-hook notifications, and provisioning failures into Slack channels for security monitoring and identity operations.

  • Github provisions and synchronizes Okta-managed developer identities and organization access with GitHub for centralized SSO and access lifecycle automation.

  • Salesforce provisions Salesforce users and maps Okta group roles to CRM permissions to automate onboarding and maintain audit trails.

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