Databricks Releases Comprehensive AI Security Framework Guide

Databricks has published the Databricks AI Security Framework (DASF) to help organizations secure AI systems against data, model, infrastructure, and governance risks. The framework maps 12 AI components to specific threats and prescribes seven steps and prioritized controls across deployment models, addressing issues like data poisoning, prompt injection, bias, and regulatory compliance including the EU AI Act and recent U.S. initiatives. It aims to operationalize secure AI development and continuous monitoring.