About This Site
AI-native platform for discovering and governing human, machine, and AI identities Oak is an AI-native identity operating system designed to discover, understand, and govern human, machine, and AI agent identities. It provides a unified identity graph and an Identity Intelligence Layer that brings identity discovery, context, governance, and management into one platform. Oak is built for enterprise environments, connects with existing systems, and supports identity programs across complex infrastructure. Its platform includes agentic identity capabilities, broad integrations through Connect Any, and optional White Glove services for implementation, migration, and ongoing identity management.
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Key Features AI
Core Features
Unified live identity graph for human, machine, and AI agent identities
Identity discovery, intelligence, governance, and management in one platform
Agentic identity monitoring and control
Connect Any integrations for existing enterprise systems
Context-aware identity risk visibility and remediation
White Glove implementation, migration, and managed identity services
Enterprise-scale support for complex environments
Advantages
Covers human, machine, and AI agent identities on one platform
Provides a centralized identity graph instead of separate tool-specific identity lists
Designed for continuous visibility rather than only periodic identity reviews
Supports enterprise integrations and complex environments
Offers implementation and migration assistance through White Glove services
Addresses identity discovery, governance, and management within a single platform
缺点：Public package prices are not provided on the website content
缺点：The platform appears primarily oriented toward enterprise organizations
缺点：Access generally requires requesting a demo or engaging with Oak
缺点：Some services and benefits, such as White Gloves and up to 500 free implementation hours, are limited to qualified Fortune 500 organizations
缺点：Specific technical integrations, deployment timelines, and feature-level limitations are not detailed in the provided content
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