In an era marked by increasingly sophisticated cyberthreats, traditional security models struggle to deliver deep, actionable insights for proactive defense. This session will explore a modern approach to cybersecurity that prioritizes end-to-end visibility, real-time analytics and intelligent decision-making. Central to this transformation is the strategic integration of data lakes that serve as scalable repositories capable of ingesting and normalizing vast volumes of structured and unstructured security data from diverse sources. By unifying disparate logs, telemetry and threat intelligence feeds into a centralized data lake, organizations can eliminate silos, enrich context, and apply advanced analytics and machine learning to accelerate anomaly detection and improve response accuracy.

The session will cover:

• Redefining threat visibility not just as a monitoring capability but as a dynamic, data-driven strategy;
• How to shift from reactive postures to proactive decision-making - ultimately reducing risk and improving operational resilience;
• Challenges of scaling threat visibility across multi-cloud and hybrid environments.