Smart Data Trust Scores are ratings that help measure how reliable and trustworthy a piece of data or a data source is. They are calculated using a mix of factors, such as where the data comes from, how it has been handled, and whether it matches up with other trusted information. These scores help people…
Intelligent Data Ownership refers to systems and practices that give individuals or organisations greater control over their data, using advanced technologies to manage access, permissions, and usage. It means data owners can decide who can see, use, or share their information, often using automation to enforce these choices. This approach aims to strengthen privacy, security,…
Digital data governance is the set of rules, policies, and procedures that guide how organisations collect, manage, protect, and use digital information. It ensures that data is accurate, secure, and handled in line with laws and company standards. Good data governance helps prevent misuse, data breaches, and confusion by clearly defining who is responsible for…
Digital data retention refers to the policies and practices organisations use to determine how long data is stored on computers, servers or cloud systems. It involves setting rules for keeping, archiving or deleting digital information, such as emails, documents or transaction records. The goal is to manage storage efficiently, comply with legal requirements and protect…
AI-based data masking is a technique that uses artificial intelligence to automatically identify and hide sensitive information within datasets. By learning patterns and context, AI can detect data such as names, addresses, or credit card numbers and replace them with fictional or scrambled values. This helps protect privacy when sharing or analysing data, while still…
Digital identity verification is the process of confirming that someone is who they claim to be when interacting online. This usually involves checking documents, photos, or data provided by the user against trusted sources. The goal is to prevent fraud and ensure only authorised individuals can access specific services or information.
Homomorphic encryption is a type of encryption that allows data to be processed and analysed while it remains encrypted. This means you can perform calculations or run programmes on the encrypted data without needing to decrypt it first. The results, once decrypted, match what you would get if you had performed the same operations on…
Privacy-preserving technology refers to tools and methods designed to protect personal or sensitive information from being accessed or misused by unauthorised parties. These technologies help individuals and organisations control what data is shared and how it is used, often without revealing the actual content of the information. Common examples include encryption, anonymous browsing tools, and…
Facial recognition ethics refers to the moral considerations and debates around the use of technology that can identify or verify people by analysing their facial features. This includes concerns about privacy, consent, bias, and how the data is stored or shared. The topic also covers questions about fairness, accuracy, and potential misuse, such as surveillance…
Voice biometrics is a technology that uses the unique characteristics of a person’s voice to verify their identity. It analyses features such as pitch, accent, and speaking style to create a voiceprint, which is like a fingerprint but for your voice. This voiceprint can then be used to confirm that someone is who they claim…