Mean Time to Detect Is a Data Access Problem

Mean Time to Detect (MTTD) is being constrained by data fragmentation in Security Operations Centers, where analysts spend excessive time assembling data from multiple sources rather than performing analysis.

• •Legacy SOC tools and SIEM platforms fail to address the fundamental data integration problem, forcing analysts to manually query disparate systems with different syntaxes.
• •The threat landscape has dramatically shifted, with the time from CVE to weaponized exploit compressed from two years in 2018 to just 1.3 days in 2024.
• •Databricks Genie serves as an agentic interface that leverages Claude AI to enable natural language queries across unified security data, allowing analysts to correlate complex signals in seconds.
• •Organizations are moving from human-paced manual workflows to machine-speed autonomous defense, with defensive agents automating detection, triage, and investigation natively within the data lake.