Automated policy enforcement is the use of software systems to ensure that rules, regulations, or guidelines are consistently followed without requiring manual checks. These systems monitor activities or configurations and take action when rules are broken, such as blocking access or sending alerts. This helps organisations maintain compliance, security, and operational standards efficiently.
Category: AI Governance
AI-Powered Audit Trails
AI-powered audit trails are digital records that use artificial intelligence to automatically track, analyse, and verify actions taken within a system. These records help organisations monitor who did what, when, and how, making it easier to spot errors or suspicious activities. By using AI, these audit trails can highlight unusual patterns and automate the process…
AI-Based Knowledge Suggestions
AI-based knowledge suggestions use artificial intelligence to recommend helpful information, resources, or actions to users based on what they are doing or searching for. These systems analyse user behaviour, context, and previous interactions to present relevant content or guidance. The aim is to make finding the right information faster and easier, reducing the effort needed…
Digital Review Monitoring
Digital review monitoring involves tracking and analysing online feedback, comments, and ratings about a business, product, or service across websites and social platforms. It helps organisations understand how they are perceived by customers and spot trends or issues quickly. This process can be done manually or with specialised software that collects and organises reviews from…
Smart Data Trust Scores
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…
AI-Powered Data Agreements
AI-powered data agreements use artificial intelligence to help people and organisations create, manage and enforce rules about how data is shared and used. These agreements can automatically check if data is being handled correctly, alert users to any problems, and suggest changes if needed. By using AI, the process becomes faster, more accurate, and easier…
Intelligent Data Ownership
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,…
Smart Data Stewardship
Smart Data Stewardship is the practice of responsibly managing and organising data using modern tools and strategies to ensure it is accurate, secure and accessible. It involves setting rules and processes for how data is collected, stored, shared and protected. The goal is to make data useful and trustworthy for everyone who needs it, while…
Intelligent Data Lineage
Intelligent Data Lineage refers to the process of automatically tracking and mapping how data moves and changes from its origin to its final destination. It uses advanced technologies, such as machine learning and automation, to discover, visualise, and monitor data flow across complex systems. This approach helps organisations ensure data quality, compliance, and transparency by…
Automated Evidence Gathering
Automated evidence gathering is the process of using technology to collect, organise, and store information that supports decision-making or investigations. Instead of people manually searching for and recording evidence, automated systems can monitor sources, retrieve data, and compile relevant material quickly. This approach saves time, reduces errors, and ensures that important information is not missed.