Edwin AI Integrations Overview

Edwin AI integrates with a wide range of third-party tools to extend its event correlation and enrichment capabilities. These integrations ensure that insights generated by Edwin AI are contextual, actionable, and visible where your teams already work.

You can use Edwin AI integrations to streamline operations with the following capabilities:

• Out-of-the-box (OOTB) integrations—Edwin AI provides preconfigured connectors for popular tools, allowing for rapid deployment. These integrations include built-in request logging and response payload visibility to simplify troubleshooting.
• Custom integration support—For systems that are not covered by out-of-the-box connectors, Edwin AI supports custom integrations using REST APIs. This lets you tailor the ingestion and forwarding of events to match your operational workflows.
• Built-in observability—Every integration includes built-in monitoring to surface failed requests, delivery statuses, and transformation errors, making it easier to manage and audit integration activity.
• Flexible payload mapping—Both OOTB and custom integrations enable mapping incoming and outgoing data to Common Event Format (CEF) or Edwin AI, ensuring normalized, high-quality event processing.
• Unified correlation layer—Regardless of the integration type, all data sent to Edwin AI flows through the same correlation engine, which enables enrichment, deduplication, grouping, and prioritization at scale.

Edwin AI Integration Categories

Edwin AI supports integrations across the following categories:

• Monitoring tools—Splunk, Datadog, ThousandEyes
• ITSM platforms—ServiceNow (bi-directional), Jira
• Notification systems—PagerDuty, Microsoft Teams, Slack
• Custom endpoints—HTTP webhooks, custom APIs

For more information on configuring each integration, see the individual integration documentation.