IOR Analytics: Protecting Data by Understanding Data

Data is central to most organizations’ ability to function. Much of that data must be protected from the ever-increasing number of cyberattacks; but somewhere in the chaos of protection activities, the precise impact data has on business objectives is sidelined. Positioning its unique value proposition in this intersection between an organization’s security, compliance, and business processes’ dependence on data is IOR Analytics. “Once we bridge this gap for our customers, they are able to reap true intelligence around their data,” says Matt Linde, the president of IOR Analytics. The company has leaped forward to revolutionize the enterprise security arena by providing a platform—IOR Insight—a pragmatic risk intelligence SaaS solution that facilitates data protection through business process awareness. “We emphasize the importance of visibility of business processes and transparency of data usage in all data inventories across the enterprise,” adds Linde. “From a risk, security, and compliance standpoint, the company focuses on centralizing the high-quality information needed to help enterprises make effective, data-driven decisions aimed at attaining the business objectives.”

The company aims at prioritizing the focus of data protection efforts in an organization by determining the data flow through its simplified survey approach. The first step of the strategy is to convert overall insights of data usage visibility into business processes and then use the technology to identify high-risk data-handling and across the combination of data inventory and business processes. The final step involves applying data-handling policies and control policies overlaying onto the pre-built knowledge base for developing actionable risk intelligence, based on the prioritization of data risk management initiatives. To consolidate and improve on the same ideology, the IOR Insight platform consists of three independent yet complimentary modules—Data Inventory Manager, Data Flow Manager, and Risk Manager.

The Data Inventory Manager allows identification and classification of data inventories by direct collaboration with data custodians across the organization and/or integration with DLP technologies.