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. ...