

Integrate Apache Kafka Source with Castle
Don't go through the pain of direct integration. RudderStack’s Apache Kafka Source integration makes it easy to send data from Apache Kafka Source to Castle and all of your other cloud tools.
Easy Apache Kafka Source to Castle integration with RudderStack
RudderStack’s open source Apache Kafka Source integration allows you to integrate RudderStack with your Apache Kafka Source to track event data and automatically send it to Castle. With the RudderStack Apache Kafka Source integration, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.
Available via webhook
Send event data to Castle by enabling webhooks in your RudderStack dashboard, then using our Transformations feature to shape the payload for the Castle API. Once enabled, RudderStack will forward events to Castle (note, this requires leveraging cloud API endpoints for Castle ).
Popular ways to use Castle and RudderStack
Easily stream data from your website or app to [integration, destination=TRUE] in real-time.
Modify payloads to match requirements in [integration, destination=TRUE].
Automatically send user behavior data directly to Castle.
Frequently Asked Questions
About Castle
Castle is an account security and fraud prevention platform designed for businesses and developers. Its real-time threat detection and scoring capabilities allow you to block spam registrations and any account hacking attempts. With Castle, you can easily eliminate fake accounts and bots, and avoid credential stuffing to avoid any possibility of an account takeover attempt. Castle also allows you to automate your security flows, including account recovery processes, authentication mechanisms, end-user alerts, and more.
About Apache Kafka Source
Apache Kafka is a popular distributed streaming platform. It allows you to handle large-scale workloads with high throughput and low latency. Apache Kafka is highly available and is used across the world for building real-time data pipelines and streaming applications.