Best Practices for Securing Your Airflow Data Pipelines
Download your copy today.
By proceeding you agree to our Privacy Policy, our Website Terms and to receive emails from Astronomer.
Security is essential for staying competitive in a rapidly evolving data landscape, especially as AI adoption grows. As Apache Airflow® is a core part of data strategies, the stakes for securing pipelines have never been higher. With workflows now handling sensitive customer data, financial reporting, and compliance-bound records, your orchestration platform must evolve to meet modern security demands.
This whitepaper outlines five essential security practices for transforming Apache Airflow into an enterprise-grade orchestration platform, especially for AI initiatives. It also includes a deep dive into Remote Execution with Apache Airflow 3 as a key solution for allowing sensitive data to remain within a controlled environment while leveraging managed orchestration capabilities that is particularly beneficial for regulated industries and AI workloads.
Download the whitepaper to learn how to:
- Implement zero-trust architecture with remote execution in Airflow 3
- Establish bulletproof development and deployment controls
- Improve identity integration and access controls
- Eliminate secrets sprawl through centralized management
- Implement proactive observability and incident response
