Castlepoint

Administre información en cualquier lugar

Castlepoint es una solución completa de gestión de registros e información para todos sus registros electrónicos, en cualquiera de sus sistemas de información empresarial.

Manage your whole organisation's

Cumplimiento

  • Records retention
  • Regulatory rules
  • Freezes and holds
  • Reporting

Seguridad

  • Sensitive information 
  • Classified information
  • Auditing and investigations
  • Risk data

Descubrimiento

  • Search for items
  • Browse by functions and topics
  • View trends over time
  • Support FOI and eDiscovery

Castlepoint catalogues systems and information regardless of location or format, including Office 365, Amazon Web Services, Google Drive, Dropbox, Twitter, Microsoft SharePoint, databases, line of business applications, bespoke systems, legacy data stores, existing Electronic Document and Records Management Systems (EDRMS), and social media, for example. Castlepoint can manage any information format, in any system, on premises or in the cloud.

Póngase en contacto con nosotros  para obtener una demostración, presentación o una copia del documento comercial y el documento técnico.

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Information compliance has traditionally relied on user compliance. We have asked users to save in certain locations, ‘make a record’ intermittently, apply metadata to individual items, use naming conventions, and copy or move their content into records systems. As well as creating an unwelcome impost on users, this results in low-quality compliance outcomes, as users are not experts in compliance and often do not apply the correct rules. The same goes for security – we rely on users to know what information should be classified (which is not always obvious) and to then label items correctly. This model has not been effective. Castlepoint addresses this challenge by using AI to identify the applicable rules and classifications for information based on its content, and to apply them centrally.

Previous approaches to achieving information command and control across a network have relied on either customising systems, closely integrating them together, or adding point solutions in the form of agents and connectors. All of these approaches introduce technical risk. Customising, integrating and connecting systems in this way affects their supportability and upgrade path. The cost of deploying these approaches can be excessive, and the impact on the source system security, failover, and sustainment can be high. Castlepoint addresses this challenge by avoiding any changes to source systems – it only needs read access to the system, like a user, to compliantly manage its data. 

As Artificial Intelligence and automation have become more common, many traditional compliance systems have modified their toolset to try to take advantages of the benefits of this new technology. But many of these automation approaches are ‘Mechanical Turks’ – they look like a robot, but there is a person inside. That person is often the records or compliance manager, who needs to write and manage hundreds or thousands of rules manually, so that the system can apply them ‘automatically’. Some Machine Learning approaches to compliance also use a highly supervised approach, requiring compliance teams to pull together thousands of curated examples of documents to match every single rule in order to ‘train’ those systems. Castlepoint addresses this challenge by training the AI on the las reglas, no solo en los datos, quitando la carga a los administradores para que puedan dedicar su tiempo a la acción de la información de Castlepoint, no solo a alimentar la máquina. 

Otros sistemas de cumplimiento requieren que los datos de origen se muevan, dupliquen o modifiquen para aplicar la regla de cumplimiento. Mover la información a sistemas de cumplimiento la elimina de su contexto empresarial, lo que reduce su facilidad de uso. La duplicación de información dobla la superficie de amenazas de la PII (Información de Identificación Personal) y los datos confidenciales, y reduce a la mitad la capacidad de detección. La adición de etiquetas o etiquetas de metadatos da como resultado cambios en los registros originales, lo que puede afectar a la integridad tanto del registro como de su sistema de origen. Además, estos enfoques de etiquetado no abordan todo el alcance del cumplimiento: el número de etiquetas que se pueden aplicar es limitado, lo que significa que las organizaciones tienen que elegir entre etiquetar en función de la regla de retención, el marcador de valor o la designación de riesgo. Esto significa que el cumplimiento solo se aborda a través de una lente estrecha. Castlepoint aborda este desafío sin mover ni copiar información, ni modificarla de ninguna manera: registramos todos los metadatos sobre un elemento, incluidos tantos atributos de cumplimiento como sea necesario, en el registro de activos de información de Castlepoint, donde está disponible de forma centralizada para búsqueda, informes y supervisión.  

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