We are excited to announce the release of the Databricks AI Security Framework (DASF) version 1.0 whitepaper! Machine learning (ML) and generative AI (GenAI) are transforming the future of work by enhancing innovation, competitiveness, and employee productivity. However, organizations are grappling with the dual challenge of leveraging artificial intelligence (AI) technologies for opportunities while managing potential security and privacy risks, such as data breaches and regulatory compliance. This blog will give an overview of the DASF, how to navigate it, share an update on our external momentum, and provide you with additional resources to connect with our team.

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The Databricks AI Security Framework (DASF) is designed to improve teamwork across business, IT, data, AI, and security groups. It simplifies AI and ML concepts and offers a defense-in-depth approach to AI security. The framework provides actionable recommendations and helps establish trust in AI goals.

Introducing the Databricks AI Security Framework (DASF)

Building the foundation of the Databricks AI Security Framework

Getting started with the Databricks AI Security Framework

Fostering AI security through industry allies, partners, and customers

Take the first step to expanding a strong AI security foundation – download the Databricks AI Security Framework and engage with our team