Using AI to Unify Fragmented Data Across Systems: A New Approach to Cross-Channel Identity
Modern enterprises operate across dozens of systems — each generating its own data, with its own identifiers, in its own format. When an event occurs across multiple channels, correlating that activity back to a single source becomes surprisingly hard. Different systems use different IDs for the same underlying entity, and reconciling them typically requires manual effort, rigid rules, or brittle lookups that break the moment data structures change. This fragmentation creates real problems for security: if you can’t reliably connect activity across systems, you can’t see the full picture of what’s happening — and attackers know it. ...
Adaptive Trust: Zero Trust Architecture in a Financial Services Environment
Traditional perimeter-based security models are no longer adequate for protecting financial institutions. As the Verizon Cybersecurity Report demonstrates, individuals remain persistently vulnerable to social engineering — enabling threat actors to establish footholds inside networks that were assumed to be safe. The combination of ineffective network perimeter controls and an increasingly porous enterprise boundary means we must let go of the concept of a trusted network protected primarily at the perimeter. ...