Data443 Risk Mitigation, Inc.

Data Classification Fail: ‘Enormously Damaging’ Data Stolen at Apple Car

Confidentiality Oaths and Stolen Secrets

As Bloomberg first reported, an Apple Inc. engineer has been charged with stealing data from the company that contained car secrets for a prototype driverless car. Jizhong Chen had been working for Apple for about six months, signing a strict confidentiality oath upon being hired. 

According to another Apple employee, Chen was seen photographing within the secure facility January 11. 

Stealing Data Without Obstacles

Worse than, perhaps, the photographs taken, were the 2,000+ documents Chen backed up to his personal hard drive, including manuals and schematics for the Apple project. Data stolen included architecture diagrams and assembly drawings. 

Apple could have prevented any file stealing and data breach from both Chen and an additional Chinese engineer in July 2018 with data classification. Data classification solutions, like the industry-leading technology ClassiDocs, classify structured and unstructured data enabling the separation and classification by data set requirements. In other words, if all data is classified according to preset rules, the most sensitive and proprietary data would secure. When a breach attempt occurred, sensitive data would not be able to be transported, as it would be stopped by a DLP. 

The Data Classification Solution

The most important information to take from this?  Full-scale Data Classification solutions are a necessity for organizations in protecting their data, both proprietary and consumer based. 

Data443™ provides a full suite of data security solutions to secure all data, at every point, every time. 

Don’t find yourself in the same position as the countless companies like Apple, vulnerable to data leaks, exposing your organization to fines, leaked sensitive material, and loss of consumer confidence.