As AI adoption accelerates, organizations face a new challenge: protecting sensitive data that moves continuously across applications, platforms, and AI systems. Traditional security approaches, built for static environments, can’t keep up with how data is created, shared, and used today.
In this white paper, Zscaler explores how enterprises can secure data in motion while still enabling the speed and flexibility AI requires.
You’ll learn:
- How AI and cloud ecosystems are expanding data exposure beyond traditional boundaries
- Why visibility across structured and unstructured data is critical for modern security
- How DSPM and DLP work together to identify and prevent sensitive data risks
- How inline protection enables secure AI use without disrupting employee workflows
- What a unified data security approach looks like in practice, and why it matters for AI adoption