What Defines a Top AI Security Vendor? A Data-First Approach

The report argues that effective AI security must be data-first: protecting the data that trains and feeds AI systems rather than focusing solely on models or runtime controls. It explains AI-specific DSPM and data access intelligence as ways to provide visibility into human and agent interactions with sensitive data, recommends securing data across the AI lifecycle (pre-training, inference, runtime), and discusses balancing protection with enablement when evaluating AI security vendors.