DryvIQ

Every year, businesses lose millions of dollars due to data breaches caused by unsecured sensitive data. DryvIQ, a global leader in unstructured data management, has expanded its platform to help organizations prevent such breaches and increase efficiencies in their data management.

DryvIQ’s enhanced platform capabilities utilize patented artificial intelligence (AI) and machine learning (ML) technology to detect and classify unstructured sensitive data — such as personally identifiable information or images — then automatically take action to improve an organization’s security posture and ongoing data governance.

The challenge

Before DryvIQ’s platform could analyze unstructured data and provide valuable insights, it needed to access and extract information from an organization’s files and documents — at petabyte scale. The DryvIQ team began developing an in-house solution but soon realized that it would consume significant internal resources and slow down product development and delivery. Therefore, it began researching third-party options to expedite the process.

The solution

Through its research, DryvIQ discovered Hyland’s Document Filters solution, a software developer kit (SDK) that easily integrates into DryvIQ’s platform without altering or impacting the user experience. Document Filters gives software developers the power of deep inspection, format conversion, output manipulation and viewing for virtually any type of document. It also enables working directly with extracted content in memory and choosing the output modes that fit the diverse needs of modern business.

The benefits

By integrating Document Filters into its platform, DryvIQ gained several benefits that helped it achieve its business goals:

Developer-friendly interface for a headache-free integration

DryvIQ needed a solution that easily integrated with its existing technology and process. “Doc Filters’ API is very developer friendly,” said Shaun Becker, chief architect at DryvIQ. “It made Document Filters easy to use and integrate with our products.”

Other options on the market were not as developer friendly, Becker said. Apache Tika, which is Java-based, would have required a separately maintained environment. It also didn’t have the level of performance testing and variety of file formats needed. Oracle’s Outside In Technology would have required custom coding to embed into DryvIQ’s products, whereas Document Filters’ native .NET API offered a simple integration.

Faster processing times with support for more file formats

With 600 supported file types, Document Filters outperformed the competition and DryvIQ’s current in-house solution in terms of breadth of document content detection capabilities, said Ryan Record, Product Marketing Director at DryvIQ. Document Filters was also able to inspect and process files much faster than before.

Scalable and reliable performance

“The performance and scale of Hyland’s Document Filters exceeds our expectations,” Becker said. “It accesses the content quickly and with a small footprint, so as we scale the number of files we process, Hyland isn’t a bottleneck.”

The difference

Go to market quickly

The ease of integrating Document Filters with the DryvIQ platform allowed the company to go to market more quickly than if the team had continued to develop the same functionality in-house. Document Filters also helped the company meet the required level of file formats before launch, without needing to invest significant engineering time.

Compete for — and win — more RFPs

Through Document Filters’ expansive file format support and functionality, DryvIQ expanded the reach of its products to address more use cases across more industries with minimal investment in engineering time. Document Filters could accommodate unique file or format requirements, such as DWG, iWork, archives, ZIP files and more, giving DryvIQ a competitive edge.

“Document Filters has helped us be fast and performant during the RFP process, where prospects are testing our platform directly against a competitors’ platform,” Record said.

Maintain DryvIQ’s customer experience standards

DryvIQ is known for the accuracy and speed of its content detection and classification — correctly identifying a Social Security number versus an account number, for example. Document Filters plays an important role in that process by quickly and correctly extracting large quantities of unstructured data before the AI performs its analysis. Document Filters has allowed DryvIQ to focus on providing value through its advanced AI/ML technologies and customer support while ensuring data extraction accuracy.