Intelligent Metadata Enabled Solutions for Data Privacy and Protection of Confidential Information within the Public Sector

Real-time identification of security exposures within content to protect your enterprise, eliminate breaches, and reduce risk.

The ROI Of Information Security   Request a Demo 

Data Privacy and Protection of Confidential Information

Security is not one size fits all. In today’s economy, non-compliance, exposure of confidential information, and federal and cross border mandates can position the enterprise for failure resulting in unexpected financial burdens, loss of brand, and client trust. The primary cause of data breaches and lapses in protecting confidential assets is the end user. Eliminating the need for them to understand all security scenarios, the organization becomes more productive and enterprise risk is minimized.

  • The Concept Searching Difference

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    Adaptable Security Models

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    Real time Identification

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    From any Source

  • The security challenge is the inability to identify privacy or confidential information exposures that are unknown. Sensitive information exists in documents, scanned items, faxed items, emails, attachments, and could be in any unstructured or semi-structured content. Most security applications provide the ability to recognize industry standard descriptors such as a social security number, other sensitive and confidential information can exist that contains information the organization does not wish to make public, such as financial information, new product information, pre-published stockholder information. Concept Searching proactively identifies any privacy or confidential information that you define from within your own content including standard descriptors and associated language.

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    Trying to identify privacy data or non-compliance exposures before they happen, not after?

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    Is secure access and rights based availability of content regardless of where it resides still problematic?

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    Need an enterprise security solution that is proactive?

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    Would elimination of end user tagging reduce the errors, costs, and risk of data exposures?

    Key Benefits

    Key Benefits

    What is the cost of data at risk? Every year it’s rising higher into the millions. Many organizations are very good at focusing on the firewall, the perimeter, the fortress. It is the enemy within that can’t be controlled. Most data breaches occur by employees, intentionally or maliciously. It only takes one. Concept Searching proactively identifies not only privacy data, but any information that your organization deems confidential. As content is created or ingested if the multi-word terms and descriptors that you defined are found within your corpus of content, the content will be moved to a secure repository for disposition.

    Risk Reduction Article   Request a Demo 
    • Eliminate manual tagging and mis-tagged content that contains a data vulnerability, improving metadata in general, omissions, or subjective metadata. Significantly improves user productivity.
    • Content that does contain a potential data breach can be moved to a secure repository, removed from search, notification sent to the appropriate response team, and portability can be disabled.
    • Ability to identify privacy data from diverse repositories, email and fax servers, test servers, scanned documents, and aggregate them for review and disposition
    • Ability to automatically identify potential security exposures in real-time
    • A standard tool to use to address aspects of data security that are unique to the organization and can be used regardless of where the data resides or the environment
    • Overcomes the lack of end user compliance to tag privacy or confidential content accurately
    • Items related to the vulnerability are automatically tagged and classified based upon easily defined rules based on organizationally unique requirements