Oportun's Real-Time Data Discovery and Protection with Dig Security

Oportun's Real-Time Data Discovery and Protection with Dig Security
Sharon FarberSharon Farber
Oportun's Real-Time Data Discovery and Protection with Dig Security
“When it comes to sensitive data, you can’t protect data you don’t know about. With Dig, we can reduce our data risk by understanding first which type of assets we have, which type of data is within those assets and who is interacting with the data, all under a single platform.” - Tyson Kopczynski - CISO, Oportun

Oportun is an AI-powered digital banking platform that aims to provide inclusive and affordable financial services to anyone. With a growing wealth of sensitive financial data in their care that’s highly sought after by hackers, Oportun knew they needed a solution that could ensure data discovery, classification, and real-time protection. That’s when they turned to Dig Security.

Dig Security's unique model, which combines data security posture management (DSPM), cloud data loss prevention (DLP), and real-time data detection and response (DDR), made it the ideal choice for Oportun's data security needs. The onboarding process with Dig was smooth and efficient, taking under an hour. This meant that Oportun gained meaningful insights into their data on day one.

Within just one week of implementing Dig Security's solution, the team was already taking actions to improve their data security posture based on the tool's findings. Dig is now used by several of Oportun's teams, including data security, identity and access management, cyber operations, security governance, and even engineering. And next, Oportun is expanding its usage of Dig Security's offerings into protecting unmanaged assets on virtual machines throughout their cloud environment. 

Oportun's partnership with Dig Security has enabled them to achieve their goal of securing their data with real time detection and response and they are now well-positioned to maintain the highest levels of data protection and security.


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