Notes about Cutting-Edge Technologies and Everything

Protegrity, the data-security solutions provider, today announced support for Amazon Redshift, a fully-managed petabyte scale cloud data warehouse. Organizations with high data-security and IT requirements can now deploy Protegrity’s data de-identification technology in the Amazon Redshift environment. With its format-preserving vaultless tokenization capabilities, Protegrity goes beyond encryption to ensure data is protected at every step of the data lifecycle—from storing and moving to analyzing—no matter where it lives. By allowing protected data to be fully utilized without risk, Protegrity for Amazon Redshift enables customers to drive significantly more value and insights from sensitive data in the cloud. Building on Amazon Redshift’s comprehensive, built-in security capabilities available to customers at no extra cost, Protegrity protects the privacy of individuals by anonymizing data before it reaches Amazon Redshift. The combination of Protegrity and Amazon Redshift allows bus...

Data ethics is an emerging branch of applied ethics which describes the value judgements and approaches we make when generating, analysing and disseminating data. This includes a sound knowledge of data protection law and other relevant legislation, and the appropriate use of new technologies. It requires a holistic approach incorporating good practice in computing techniques, ethics and information assurance. The Data Ethics Framework consists of 3 parts:     the data ethics principles     additional guidance for each principle in the framework     a workbook to help your team record the ethical decisions you’ve made about your project The Data Ethics Framework principles Your project, service or procured software should be assessed against the 7 data ethics principles. 1. Start with clear user need and public benefit Using data in more innovative ways has the potential to transform how public services are delivered. We must always ...