What Analysts Are Debating About AI Security in 2026, and Where They Converge

The article summarizes a Cyera webinar on AI security, outlining two camps—those prioritizing governance versus those prioritizing runtime controls—and concluding that both design-time governance and runtime protections are necessary. Analysts converge on data security (sensitive-data discovery/classification and DSPM) as the foundation for AI trust, while identifying agentic AI as the next hard problem requiring new authorization and intent-aware controls. The piece closes with five pragmatic recommendations for the next 12 months: integrate AI into existing governance, provide sanctioned developer environments, classify data and write policy, pick and commit to high-value use cases, and begin post-quantum readiness planning.