Case Study: Cadence boosts offboarding security and insider risk detection with Concentric AI

A Concentric AI Case Study

Preview of the Cadence Design Systems Case Study

Cadence cuts insider risk detection from 10 people months to hours with Concentric AI

Cadence Design Systems, a leading electronic systems design company, faced significant challenges securing its vast intellectual property during employee offboarding. With a remote workforce and data sprawled across cloud repositories, their small security team struggled to identify where sensitive data resided and prevent it from being stolen, a process that was consuming ten people-months of manual effort. They partnered with Concentric AI to implement its data security solution to address this critical risk.

By deploying Concentric AI's solution, Cadence gained immediate visibility into data movement and risk. The platform quickly identified and flagged suspicious activity, including a senior engineer attempting to upload sensitive project specifications to a cloud service just before leaving the company. This allowed Cadence to intervene and prevent a major data breach. The implementation provided a monumental increase in data visibility and drastically reduced the time to detect insider risk activity from ten people-months to mere hours.


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