Secure your data at AI speed without slowing innovation As AI transforms workplace productivity, organizations face a critical challenge: protecting sensitive data that now flows continuously through AI assistants, SaaS platforms, and cloud services—without slowing innovation. Traditional security approaches focused on where data was stored, but the real risk now lies in understanding where data travels, how AI systems use it, and who accesses it along the way. By unifying data security posture management (DSPM) and data loss prevention (DLP) with inline protection, organizations can gain comprehensive visibility and enforce contextual policies that secure data across all environments while enabling safe AI adoption. Key Points: AI expands data exposure beyond traditional boundaries Unified DSPM and DLP create powerful closed-loop protection Visibility must extend across structured and unstructured data flows Inline protection enables safe AI innovation without friction A unified approach reduces complexity and supports compliance
