Glossary

An approach that permits only explicitly approved applications and other executable content to execute on systems.

A place where an accumulation of data is stored. It could be disk storage, a flash drive, an online backup service, or online collaboration, etc.

The simulation of intelligence processes by machines, especially computer systems, which include learning, reasoning, and self-correction. Particular applications of AI include threat identification, expert systems, speech recognition and machine vision.

An application that contains a reasonable degree of artificial intelligence (AI) functionality. This includes AI-enabled applications, AI-powered applications and AI-driven applications. 

A computational model that has been trained using data to recognise patterns; predict, classify or make decisions; or generate outputs in response to inputs, using machine-learning or AI techniques. 

An application that uses AI to autonomously control most of its decisions and behaviour. Such applications typically have low human involvement, with decisions being driven by AI. Without AI functionality, such applications are unable to operate as intended.

An application that uses AI for secondary or supporting functionality. Such applications typically have high human involvement, with decisions led by humans and informed by AI insights. Without AI functionality, such applications can still function effectively.

An application that uses AI for its primary functionality. Such applications typically have moderate human involvement, with decisions shared between humans and AI. Without AI functionality, such applications can function, but only in a severely limited capacity.

In the context of technology, an overarching term used to refer to applications, IT equipment, OT equipment, services and data. Such assets may also be referred to as technology assets.

Cryptographic algorithms where two different keys are used, commonly a private and a public key. Also known as 'public key cryptographic algorithms'.