Case Study: AlphaSense achieves actionable intelligence and reduced DLP noise with Jazz

AlphaSense - Customer Case Study

AlphaSense, a leading enterprise and financial intelligence platform, needed to protect its data but found that every DLP solution it tried generated overwhelming false positives and noise. The company's CISO described legacy DLP as a rigid "noise machine" that could not handle the complexities of real business data.

The vendor Jazz implemented its solution, which uses AI to learn from data instead of relying on predefined rules. This approach provided AlphaSense with actionable intelligence, allowing its security team to know precisely when and how to respond to threats. The result was an immediate and tangible improvement in data protection, which the customer hailed as the closest thing to a successful synthetic employee.

AlphaSense

Pieter Vaniperen

Chief Information Security Officer