Internal Audit

Governance

The system of policies, rules, and processes by which activities are directed, controlled, and managed.

Right to be Forgotten

A legal concept giving individuals the right to request deletion of their personal data from organisations' records.

Data Sovereignty

The concept that data is subject to the laws and governance structures of the country where it is collected or processed.

COBIT

Control Objectives for Information and Related Technologies — a framework for IT governance and management.

Business Ethics

The application of ethical principles and moral standards to business activities, decisions, and relationships.

Anti-Money Laundering

Laws, regulations, and procedures designed to prevent criminals from disguising illegally obtained funds as legitimate income.

Whistleblower Protection

Legal provisions protecting individuals who report illegal or unethical practices within organisations.

Information Classification

The process of categorising data based on its sensitivity level and the impact of unauthorised disclosure.

Acceptable Use Policy

A document defining the permitted use of an organisation's IT resources and networks.

AI Regulation

The developing body of laws and policies governing the development, deployment, and use of artificial intelligence systems.

Algorithmic Accountability

The principle that organisations should be answerable for the outcomes and impacts of their algorithmic systems.

Model Risk Management

The governance framework for identifying, measuring, and mitigating risks arising from AI and analytical models.

A controlled environment where businesses can test innovative products and services under regulatory oversight.

The process of checking individuals and entities against government-issued lists of sanctioned parties.

A set of rules defining who can access specific resources and what actions they can perform.

The practice of designing, developing, and deploying AI systems with good intention and ethical principles.

A set of principles, guidelines, and processes that an organisation adopts to ensure its AI systems are developed and deployed in a manner that is fair, transparent, and accountable.

An approach to systems engineering that takes privacy into account throughout the entire engineering process.

The overarching strategy for managing an organisation's information assets, balancing the need for data availability with security, privacy, compliance, and lifecycle management.

The international standard for AI management systems that specifies requirements for establishing, implementing, maintaining, and improving AI governance within organisations.