Category: Cybersecurity

Quantum Error Handling

Quantum error handling is the process of detecting and correcting mistakes that occur in quantum computers due to noise or interference. Because quantum bits, or qubits, are very sensitive, even small environmental changes can cause errors in calculations. Effective error handling is crucial to ensure quantum computers provide reliable results and can run complex algorithms…

Threat Vector Analysis

Threat vector analysis is a process used to identify and evaluate the different ways that attackers could gain unauthorised access to systems, data, or networks. It involves mapping out all possible entry points and methods that could be exploited, such as phishing emails, software vulnerabilities, or weak passwords. By understanding these vectors, organisations can prioritise…

Cloud Security Metrics

Cloud security metrics are measurable indicators used to assess how well cloud-based systems and services are protected against threats. They can track things like the number of security incidents, response times, or how often data is accessed. These metrics help organisations understand their security strengths and weaknesses, making it easier to improve protection and meet…

Secure Data Collaboration

Secure data collaboration is a way for people or organisations to work together using shared data while keeping that data protected. It involves using tools and processes that make sure sensitive information is not exposed to anyone who should not see it. This often includes encryption, access controls, and monitoring to ensure that data stays…

Adversarial Robustness Metrics

Adversarial robustness metrics are ways to measure how well a machine learning model can withstand attempts to fool it with intentionally misleading or manipulated data. These metrics help researchers and engineers understand if their models can remain accurate when faced with small, crafted changes that might trick the model. By using these metrics, organisations can…

Data Security Frameworks

Data security frameworks are structured sets of guidelines, best practices and standards designed to help organisations protect sensitive information. They provide a roadmap for identifying risks, implementing security controls and ensuring compliance with laws and regulations. By following a framework, companies can systematically secure data, reduce the risk of breaches and demonstrate responsible data management…

Blockchain Identity Management

Blockchain identity management is a way to store and manage digital identities using blockchain technology. Instead of keeping your personal information in one company’s database, blockchain allows you to control your own identity information and share it securely when needed. This system can make it easier to prove who you are online and helps protect…

Cloud-Native Security Automation

Cloud-native security automation refers to using automated tools and processes to protect applications and data that are built to run in cloud environments. It makes security tasks like monitoring, detecting threats, and responding to incidents happen automatically, without needing constant manual work. This helps organisations keep up with the fast pace of cloud development and…

Data Integrity Monitoring

Data integrity monitoring is the process of regularly checking and verifying that data remains accurate, consistent, and unaltered during its storage, transfer, or use. It involves detecting unauthorised changes, corruption, or loss of data, and helps organisations ensure the reliability of their information. This practice is important for security, compliance, and maintaining trust in digital…