DocuClassify - AutoClassification at its best
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The document discusses the challenges of managing unstructured data in enterprises, highlighting the risks associated with compliance and security. Doculynx offers an adaptive auto-classification solution that enables effective management by identifying sensitive and risky information, supporting regulatory compliance and access control. The document also describes the benefits of classification for optimizing storage, enhancing security, and streamlining data archiving processes.
DocuClassify - AutoClassification at its best
- 1. 1 Adaptive Auto-Classification Value-Based Information Management for Information Governance In any given enterprise, 70% or more of data is unstructured. This data continues to grow exponentially on file servers, Exchange servers, on corporate social media accounts, and within collaborative content systems such as SharePoint. Unstructured information can pose a risk to the organization, both in terms of regulatory compliance and information security. The proliferation of collaborative tools, myriad sets of mobile access platforms, and cloud deployment scenarios have left enterprise firewalls more and more ineffective. In addition, not all information is equal. Some documents or emails contain sensitive information that need to be brought under access control and retained for compliance purposes, or held for legal reasons. Other data is little used or redundant. To address these challenges, organizations require value-based management of information. A major prerequisite is the ability to identify risky information, sensitive data, and data that must be held for compliance purposes. DocuLynx addresses this challenge with its Adaptive Auto-Classification infrastructure solution. Its ability to analyze information at the attribute, pattern, and content level allows organizations to ensure enterprise compliance and provides a high degree of fine-grained access control to sensitive information. TheAdaptiveAuto-Classificationplatformconsistsofthreeout-of-theboxclassifiersasaresultofrelationshipswithKPMG,DeloitteandFontisInternational. These include: • Metadata-based Classification – Enables high performance on high volumes of data. • Pattern Matching – Is most accurate when using regular expressions classification criteria. • Machine Learning – Paired with linguistic-statistical analysis, machine learning has universal applicability and delivers strong results with fuzzy classification criteria. DocuClassify DocuLynx’s Adaptive Auto-Classification technology, DocuClassify, classifies a wide variety of structured and unstructured enterprise data including e-mails, documents, files, records and ERP data, file servers and SharePoint objects. It enables follow-on processes such as DLP, intelligent movement of information to optimized storage tiers, audit proof archiving, and eDiscovery. The result is a greater degree of information transparency, policy-based compliance and information security. Archiving in the Cloud Classification is also an enabler for Cloud archiving: It classifies the data continuously based on its security level, and tags it appropriately. The data is then moved transparently into the Cloud, making it available as needed. In the average organization, classification and archiving rationalizes and streamlines data – reducing the amount of information that must be stored. This reduces complexities and creates valuable cost efficiencies. Why is classification necessary? Classification creates transparency via content
- 2. Contact us for a demo at www.DocuLynx.com INCREASING VALUE WHERE IT REALLY COUNTS BENEFITS • Intelligent storage optimization through classification • More compliance through automated archiving of relevant data • Higher security through access control with Dynamic Access Control and/or automated encryption • Upload of files to SharePoint based on classification • Upload of files based on the classification into a DMS/ECM • Classification as enabler for cloud approaches/yields greater information security • Increases the efficiency of pre-culling for eDiscovery FEATURES • Company-wide approach instead of island solutions • Comprehensive concept for all data types • Combination of many different classification procedures • Complete automation of the classification • Open industry standards are used for the classification process • Many usecase scenarios (DAC, DLP, HSM, archiving, ILM, ...) from one source • A complete technical introduction methodology complements the software THE CLASSIFICATION CUBE The DocuLynx Classification Cube® is a universal approach for organizations to think about classification. It‘s simple enough to be implemented rapidly, and flexible enough to be easily expanded upon. The Cube meets the most basic and critical requirements. The concept of a document type and the Cube are the initial building blocks to a successful enterprise-wide classification. The Cube includes a 5-phased implementation process: Preparation, Classification Requirements, Document Class, Classification Framework, and Documentation. For more information, contact: Shelley Rose, Channel Sales Manager 925-381-6812 shelley.rose@doculynx.com