Mean time to detect is a data access problem

Mean time to detect (MTTD) is fundamentally constrained by data access capabilities, as organizations cannot identify security incidents or anomalies faster than they can query and analyze their data. Databricks argues that improving data accessibility and query performance is essential for reducing MTTD, enabling security teams to detect threats more quickly. The article likely discusses how modern data platforms can streamline data access to support faster incident detection and response.

Source: Databricks | 2026-05-07