Confidential smart contracts are digital agreements that run on a blockchain but keep certain information private from the public. They use cryptographic techniques so that data like transaction amounts or user identities are hidden, even though the contract code runs transparently. This allows people and businesses to use smart contracts for sensitive matters without exposing…
Category: Cybersecurity
Secure Enclave Encryption
Secure Enclave Encryption refers to a security technology that uses a dedicated hardware component to protect sensitive information, such as passwords or cryptographic keys. This hardware, often called a Secure Enclave, is isolated from the main processor, making it much harder for hackers or malware to access its contents. Devices like smartphones and computers use…
Secure Multi-Party Analytics
Secure Multi-Party Analytics is a method that allows several organisations or individuals to analyse data together without sharing their private information. Each participant keeps their own data confidential while still being able to contribute to the overall analysis. This is achieved using cryptographic techniques that ensure no one can see the raw data of others,…
Cloud-Native Security Models
Cloud-native security models are approaches to protecting applications and data that are built to run in cloud environments. These models use the features and tools provided by cloud platforms, like automation, scalability, and microservices, to keep systems safe. Security is integrated into every stage of the development and deployment process, rather than added on at…
Smart Contract Auditing
Smart contract auditing is the process of reviewing and analysing the code of smart contracts to find errors, security risks, or vulnerabilities before the contract is deployed to a blockchain. This helps to ensure that the contract works as intended and that users’ assets or data are not at risk. Auditing can be done manually…
AI for Threat Attribution
AI for Threat Attribution refers to the use of artificial intelligence to identify the source or origin of cyber threats, such as hacking attempts or malware attacks. By analysing large amounts of data from various digital sources, AI models can help security teams link suspicious activities to specific individuals, groups, or techniques. This process makes…
Cognitive Cybersecurity
Cognitive cybersecurity uses artificial intelligence and machine learning to help computers understand, learn from, and respond to cyber threats more like a human would. It analyses huge amounts of data, spots unusual behaviour, and adapts to new attack methods quickly. This approach aims to make cybersecurity systems more flexible and effective at defending against complex…
Deepfake Detection
Deepfake detection is the process of using technology to identify videos, images, or audio that have been manipulated using artificial intelligence to make them look or sound real, even though they are fake. These digital fakes can be very convincing, often swapping faces or mimicking voices. Deepfake detection tools look for subtle signs that reveal…
Audit Trail Integrity
Audit trail integrity refers to the reliability and trustworthiness of records that show who did what and when within a system or process. These records must be protected from unauthorised changes or deletion, ensuring they accurately reflect all activities. Maintaining integrity is essential for accountability, security, and compliance with laws or regulations.
Secure Logging Practices
Secure logging practices involve recording system and application events in a way that protects sensitive information and safeguards logs from unauthorised access or tampering. This means ensuring that logs do not contain private data such as passwords or credit card numbers, and that only authorised personnel can view or modify the logs. Secure logging also…