The Future of AI Data Security

This article outlines seven key AI security trends organizations should prioritize over the next 12–18 months: AI agents as a new dominant attack surface, the rise of non-human identities and their access blast radii, convergence of AI-SPM with DSPM, a shift from posture to runtime protections, the need for an agent control plane, model and data lineage for audits, and the renewed importance of endpoints as AI control points. It recommends tying identities to the sensitive data they can reach, enforcing policy at runtime across the full agent loop (retrievals, tool calls, agent handoffs), and building inventory, governance, protection, and proof capabilities to manage agent scale and compliance.