Case Study: Nicolet National Bank strengthens data security with DryvIQ

Nicolet National Bank strengthens its security posture with DryvIQ

Nicolet National Bank, a growing financial institution, faced significant challenges in managing and securing its unstructured data, which had expanded rapidly due to frequent mergers and acquisitions. Their previous data security platform failed to provide accurate discovery and classification, leaving them without the insights needed to mitigate risks like improperly stored passwords. To address this, the bank turned to the data intelligence solutions from DryvIQ.

DryvIQ implemented its unstructured data discovery and classification platform, using AI and machine learning to scan and categorize data with over 92% accuracy. This included specific policies to find and remediate exposed user credentials. The results were transformative; Nicolet moved from pilot to full production in just 66 days, gaining real-time visibility into its data. This dramatically improved their security posture and provided the intelligence to efficiently manage data, helping them eliminate redundant information and save both time and money.

Nicolet National Bank

Ryan Meyer

Information Security Analyst