See how the data security platform market is evolving and what security leaders should consider as AI reshapes data risk.
Navigate the shift to data security platforms
Data security is at an inflection point. Sensitive data is distributed across more environments, security teams are managing fragmented controls, and AI agents are creating new ways to access, use, and act on enterprise data.
In The Data Security Platforms Landscape, Q3 2026, Forrester explores how the market is evolving from portfolios of disparate data security products toward more cohesive platform offerings. The report examines the capabilities, use cases, and market dynamics shaping this transition and provides a framework for organizations evaluating their data security strategy.
What you’ll learn:
- Understand the evolving DSP market: Explore how data security platforms bring together capabilities for discovering, understanding, monitoring, and protecting sensitive data.
- Prepare data security for AI: Understand how copilots and agentic AI are changing data access and creating new requirements for continuous data and access intelligence.
- Evaluate the role of context: See why connecting data with identity, access, lineage, and activity can help security teams better understand and prioritize risk.
- Explore key DSP use cases: Learn how organizations are applying data security platforms across compliance, agentic AI, DLP and insider risk, database security, data sharing, and other use cases.
- Inform your data security strategy: Understand the capabilities and architectural considerations that can help you evaluate data security platforms against your organization’s requirements.
