Easily build cross-platform, hybrid, and multi-cloud any-to-any workflow automations across leading IAM and business applications
Embark is an advanced low-code workflow automation and orchestration tool that allows organizations to automate and standardize monotonous labor-intensive tasks.
Benefits and Features
Embark offers a powerful, low-code solution that directly integrates and extends across leading IAM and business applications via HTTP
Common Use Cases for Embark
Complex Provisioning: Achieve complex provisioning logic directly at the source and target levels - overcoming the limitations of traditional IGA connectors and eliminating the need for time-consuming custom connector development.
Executing Complex Functions at Target Systems: Perform advanced functions beyond standard provisioning limits - including data manipulation tasks like creating new objects at the target, executing procedures, triggering notifications, and more—to support complex and dynamic workflows.
System Migration and Integration: Embark makes it easy to handle complex migrations that go beyond the capabilities of simple ETL tools—using its low-code interface to configure and execute advanced workflows with minimal effort.
Data Aggregation: Collect and aggregate identity data from multiple sources, enriching information from one system with additional context from others. For example, combining directory data with privilege and entitlement details to create a more complete and actionable identity profile.
Identity Threat Detection and Response (ITDR): ITDR functionality can be built using triggers from sources like endpoints and identity databases to launch low-code workflows. These workflows apply business logic. such as data joins, aggregation, and augmentation, along with conditions like thresholds or risk scores to drive automated responses, notifications, or mitigations.
Related Resources
Embark Data Sheet
Demo — video
Discover how Embark can save your team countless hours through automating your server and VM onboarding processes.
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