Intelligent Data Loss Prevention (DLP) refers to advanced systems and tools that help organisations automatically detect, monitor, and protect sensitive information from being leaked, lost, or accessed by unauthorised users. These systems use artificial intelligence and machine learning to identify risky behaviours and patterns, making them more effective than basic DLP solutions. Intelligent DLP adapts…
Category: Privacy-Preserving Technologies
Smart Data Encryption
Smart data encryption is the process of protecting information by converting it into a coded format that can only be accessed by authorised users. It uses advanced techniques to automatically decide when and how data should be encrypted, often based on the type of data or its sensitivity. This approach helps ensure that sensitive information…
AI-Based Data Masking
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
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.
Quantum Key Distribution
Quantum Key Distribution, or QKD, is a technology that uses the principles of quantum physics to securely share encryption keys between two parties. It relies on the behaviour of tiny particles, such as photons, which cannot be measured or copied without changing them. This makes it possible to detect if anyone tries to intercept the…
Zero-Knowledge Proofs
Zero-Knowledge Proofs are methods that allow one person to prove to another that a statement is true without sharing any details beyond the fact it is true. This means that sensitive information stays private, as no actual data or secrets are revealed in the process. These proofs are important for security and privacy in digital…
Secure Multi-Party Computation
Secure Multi-Party Computation, or MPC, is a technology that allows several parties to work together on a calculation or analysis without any of them having to share their private data with the others. Each participant keeps their own information secret while still contributing to the final result. This approach is used to protect sensitive data…
Post-Quantum Cryptography
Post-Quantum Cryptography refers to cryptographic methods designed to remain secure against the powerful computers of the future called quantum computers. Current encryption techniques such as RSA and ECC could be broken by quantum computers, making sensitive data vulnerable. Post-Quantum Cryptography develops new algorithms that even quantum computers would find extremely difficult to crack, ensuring long-term…
Homomorphic Encryption
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 Tech
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…