Attackers targeting financial institutions have moved up the stack — from infrastructure to identity, trust, and human behavior. The layer where a stolen credential becomes a wire transfer and a deepfake becomes an approved payment. But most defense architectures still force analysts to correlate across disconnected tools, manually mapping incompatible schemas while funds move. That structural mismatch is why mean time to contain rose 49% last quarter — to over 2 hours per incident.

In this session, ReliaQuest's Bayete Stevens and an enterprise finance CISO will break down why detection-after-centralization architectures structurally fail against identity-first attacks, and what the operational alternative looks like: detection on data in motion, schema-native correlation from day one, and autonomous containment that executes across identity, endpoint, and email simultaneously — without waiting for a human to connect the signals.

You'll walk away with:

• Why centralized, detection-after-ingestion architectures fall short against identity-first attacks—and the cost of every minute an incident remains active.

• Which use cases leading financial-services CISOs are automating first and how they are reducing containment time from hours to minutes.

• How to identify gaps between your current detection architecture and the speed today’s attacks demand.