| |NOVEMBER 202319CIOReviewdata loss prevention and retention systems more intelligently, which increases efficiency, decreases risks, reduces storage costs, and safeguards information. DryvIQ recognizes trade secrets, confidential plans, personally identifiable information (PII), protected health information (PHI), payment card industry (PCI) details, passwords, and encryption keys stored in multiple on-premises and cloud systems.This ultimate detection is powered by pre-trained AI classifiers that quickly and accurately identify content across over 40 data stores, 550 file formats, and 175 languages, recognizing over 1,000 document types, and 5,000 common form types. As an example, shared documents that undergo DryvIQ's deep scan can detect non-compliant information, notify users of any discrepancies, and automatically take necessary action, like removing or modifying permissions, deletion, or adding labels for better-stored data judgment. In addition, geo-location mandates can be automated through DryvIQ's data synchronization and migration product to ensure workloads are in the right location without risking latency or sacrificing efficiency. This is enhanced through a flexible deployment model that allows customers to seamlessly install the software on-prem, in their private cloud, or DryvIQ's cloud, proving safer than third-party integrations. Above all, its built-in predefined templates and classification schemes create a configured base to build upon to fit the customers' specific needs. These benefits lead top market players to streamline the unstructured data within their complex environments and boost production at petabyte scale. Their customer base includes over 1,100 global brands like Forbes, Skullcandy, JDA, AstraZeneca, and several Fortune 500 companies. DryvIQ's solutions are battle-tested to ensure complete readiness, regardless of a customer's expectations and demands. A real-world scenario exemplifying DryvIQ's competencies is a financial institution that was struggling to manage the vast unstructured datasets from its ongoing mergers and acquisitions. They initially partnered with another provider to deploy a data security platform to understand their data landscape but struggled with the speed and accuracy of the discovery technology. After much trial and error, they approached DryvIQ and signed a proof of concept (POC) engagement to showcase the end value gained from detecting sensitive data and exposing risks. During the pilot, DryvIQ's technology found 900 exposed passwords in a small subset of data. This led to the solution's rapid deployment in active production within 66 days. Based on the client's benchmarking, DryvIQ proved five times faster in increasing the accuracy of their existing solution. It also deployed AI and machine learning classifiers along with sensitive image detection across their HR and financial data to quickly detect and address risks. Today, the financial organization continues working with DryvIQ to discover, protect, and manage evolving datasets. With its extensively field-tested data security platform, DryvIQ has become the go-to partner that can proficiently manage the speed, scalability, and complexity of growing infrastructures. Our net promoter score of 68 is driven by our platform's production horsepower, which clocks in at a hundred terabytes per day while operating at a petabyte scale
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