Intelligent Metadata Enabled Solutions for Data Discovery and Classification

No holistic view of your data? Then you only have one question to answer. What if?

Why Concept Searching Demo on Demand Data Discovery Webinars  Request a Demo

“Our clients expect us to provide solutions that minimize risks related to lack of visibility into their data and IT environments, and provide excellent results, quickly. These high expectations were met by the value of the Concept Searching and Netwrix partnership, to enhance secure data discovery and classification, which realized 13 new clients from diverse industries within the first 30 days.”

Ilia Sotnikov, Vice President of Product Management, Netwrix

  • Data Discovery and Classification

    Organizations are drowning in data. The ability to extract insight and knowledge can deliver a multitude of benefits. But data can also be toxic. Data discovery and classification technologies are key components missing from traditional security and compliance software solutions. Concept Searching augments security, governance, and data loss prevention (DLP) solutions, by providing automated data discovery, classification, and remediation capabilities. Despite best efforts in managing the interruption of day-to-day business operations, the cost of a data breach or compliance infraction can wreak havoc with infrastructure. Recovery will always take longer than projected, and costs will surpass estimates. If your organization hasn’t been the victim of a data breach, it is only a matter of time. Brand damage, loss of revenues, remediation, and legal ramifications are just the tip of the iceberg. The aftermath of General Data Protection Regulation (GDPR) has left almost half of organizations unprepared, as the world watches and waits for the fallout. Are you ready?

  • The Concept Searching Difference


    Automatically identify data that may be hidden, noncompliant, or contain unprotected privacy or sensitive information, in real time


    Prevent inadvertent or malicious data leakage

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    Eliminate siloed repositories, and gain visibility into data, regardless of where it resides

    Data discovery and classification

    Ability to contextualize content, categorize it, protect it, cleanse it, delete or archive it

    Regular expressions are the primary tools used by security audit and DLP systems. Unstructured content contains a wealth of meaning in the form of concepts, subjects, and topics, even sentiment and emotion. Within the corpus of data there also exist privacy exposures, unprotected sensitive information unique to an organization, and compliance infractions. The value of data discovery and classification is to find these exceptions, buried in reams of content.

    Our core technology is based on compound term processing. Concept Searching is the only classification vendor with technology that statistically calculates the value of word strings that form a concept and, in turn, generates multi-term metadata. This technology overcomes the limitations that have plagued information retrieval and data classification vendors that still rely on overused and time-worn metadata capture techniques, which depend upon keywords, proximity or language packs, unable to produce the essence or meaning from an organization’s unstructured, semi-structured, and structured data, without costly customization.

  • Concept Searching


    Would cleaning up legacy content be useful in migration, search, identifying all security and compliance infractions, and reducing your server footprint?


    Most data breaches are caused internally. Would preventing inadvertent or malicious data leakage and privacy and sensitive information exposures, and eliminating potential fines, internal costs, and remediation help you to reduce organizational risk?


    Would improved discovery and classification technologies integrated with your security solutions be of value?
    Key Benefits

    Key Benefits

    To achieve the benefits of data discovery and classification, deep visibility into the context of content is a primary objective and key to addressing compliance and security concerns. The exponential growth of the information economy also means that an increasing amount of personal or sensitive data is collected, used, analyzed, exchanged, and retained. Coinciding with the accumulation of personal information is an increase in data breaches, incorrect or lost data records, and incidents of data misuse. Compliance regulations, such as the Sarbanes-Oxley Act (SOX), Health Insurance Portability and Accountability Act (HIPAA), Payment Card Industry Data Security Standard (PCI DSS), and General Data Protection Regulation (GDPR), have put a strain on organizations, and illustrated the lack of insight into their data, and the consequent risk. Shareholders and the general public must be protected from accounting errors and fraudulent practices in enterprises, and the accuracy of corporate disclosures needs to be improved.

    Concept Searching’s conceptClassifier platform delivers an enterprise-class data discovery, metadata generation, auto-classification, and audit tool set, which can be easily integrated into existing security and governance solutions. Unlike traditional systems, the classification results enable organizations to overcome the seemingly insurmountable challenges of data discovery and remediation. The ability to identify organizational risk using this highly granular approach is flexible, and has proved exceptionally useful in addressing not only data discovery issues but also business process failures in records management, information security, migration, text analytics, and secure collaboration.

    The dynamic and intelligent insight engine that powers the conceptClassifier platform substantially reduces the manpower required for customizing organizational vocabulary, and improves the precision of data classification results by providing terms that are frequently used in the content corpus. Using the conceptTaxonomyManager component within the platform, authorized taxonomy administrators experience a highly interactive and supportive environment, where over 80 rules are supplied as standard and new rules can be developed, deployed, and tested in minutes. The result is a fully defensible information security and governance solution.

    The platform also provides capabilities for automated remediation, with redaction and a variety of actions as standard. As a part of the data discovery process, the identification and classification of a piece of sensitive content can trigger the redaction handler, allowing for the automated removal of sensitive content identified by entity extraction, regular expressions, and custom entities specific to business needs. Cleansed documents are then pushed to the destination system as normal. Decisions to delete or keep the original documents are entirely configurable.

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    • Avoidance of costly data breaches, internally and externally
    • Increased and transparent visibility into data, reducing risk of a data breach or compliance infraction
    • Reduced costs associated with managing, finding, and securing information
    • No agents to install on end points, creating no additional burden to the platform environment or another surface of attack
    • Integration capabilities with security, governance, and DLP applications
    • Reduces organizational risk, by identifying potential exposures and applying controls for remediation
    • Reduces spending and effectively limits the scope of content management, by protecting only data that is classified above a threshold, improving the efficiency of existing investments
    • The insight engine identifies all the terms, phrases, and language within an organization, and extracts and stores entities such as names, places, and companies, with custom rules applied to extract specific patterns
    • Audits with automated discovery and classification capabilities enable quick identification of sensitive data, reduce the cost required to maintain compliance, and provide an audit trail with defensible deletion
    • Provides the ability to modify and adjust false positives and negatives
    • Reduces costs and server footprint, due to the archiving and deletion of content no longer needed
    • Cleans up file shares, dealing with redundant, outdated, and trivial information (ROT), legacy content, and dark data
    • Eliminates end user tagging
    • Finds hidden relationships between content, and identifies relevant information that may not contain the search criteria
    • Easy to use, quick to deploy, scalable, can be run in real time, and requires no specialized skills
    • Language agnostic
    Concept Searching