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Security

Boldon James launches Classifier360

QinetiQ's data security company, Boldon James, this week launched Classifier360, which combines best practice in user-centric and automated data classification techniques to deliver a salient solution for businesses.

Recent findings from a Bloor Research report revealed that data classification is ranked in the top three most important security controls for organisations and is recognised as a key part of a successful security approach. Each organisation has different classification requirements dependent on the culture, compliance requirements, business processes, user’s technical skills or technologies deployed.

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To address this, Boldon James has developed Classifier360 to enable businesses to blend user-driven and automated classification techniques based on the maturity of their security policies and flex the solution as their approach to classification develops.

Martin Sugden, Managing Director of Boldon James said: “Underpinned by our proven Classifier Platform and Product Suite, this is the most comprehensive and flexible classification system available on the market. An organisation can blend these techniques to deliver a robust and comprehensive data security policy, supporting users in their decision-making and enhancing an organisation’s previous investment in tools such as Data Loss Prevention (DLP) and Digital Rights Management (DRM).”

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Historically, organisations have been limited to the choice of a single classification approach and some have attempted to combine approaches, but have struggled with finding a balance between the usability and accuracy of the solution. Using Classifier360, organisations can adapt their data classification techniques according to business and infrastructure needs, whilst streamlining the workflow for routine classification tasks.

Martin Sugden continued: “This is data classification that revolves around the unique needs of each business. There is no ‘one-size-fits-all’ model that can be applied to every business. Each organisation is different in terms of their environment, processes and maturity. It is for this reason a more tailored and holistic approach is required when looking at data classification, so the business can be confident that the techniques are the best fit and will deliver the results they wish to achieve.”

 

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