Posted On: October 11th 2026, 09:02 am
One subsidiary detects a phishing campaign in March. Six weeks later, another subsidiary in the same group is hit by the same campaign, unprepared.
The intelligence existed inside the organization. It just never travelled.
The obvious fix is to centralize all security logs, and it tends to stall: employee personal data under GDPR, regulators that don't allow certain data to leave the country, vendor contracts that forbid sharing it.
Our new article walks through an illustrative scenario: each SOC trains the model locally and only shares what it learned. When one subsidiary spots an attack pattern, the rest of the group picks it up without a single log crossing a border.
We also cover what Federated Learning doesn't solve: data quality still matters, and the decision still belongs to the analyst.