Control Framework

Compliance

Adherence to laws, regulations, guidelines, and specifications relevant to an organisation's business.

Regulatory Technology

Technology solutions designed to help companies comply with regulations efficiently and cost-effectively.

Data Privacy

The proper handling of personal data including collection, storage, processing, and sharing in compliance with regulations.

Data Protection Officer

An individual responsible for overseeing an organisation's data protection strategy and regulatory compliance.

Sanctions Screening

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

Incident Reporting

The formal process of documenting and communicating security incidents, breaches, or compliance violations.

Regulatory Sandbox

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

EU AI Act

The European Union's comprehensive legislation establishing rules for the development and use of AI systems based on risk levels.

Compliance as Code

The practice of expressing regulatory and security compliance requirements as machine-readable policies that can be automatically validated against infrastructure and application configurations.

Continuous Compliance

An automated approach to maintaining regulatory compliance through real-time monitoring, policy enforcement, and evidence collection integrated into development and operations pipelines.

AI Audit

An independent assessment of an AI system's compliance with regulatory requirements, ethical standards, and organisational policies, examining data, models, outputs, and governance.

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

A structured approach to identifying, assessing, and mitigating risks associated with AI systems, as defined by standards such as NIST AI RMF and ISO/IEC 42001.

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

Evaluating the potential risks of engaging with a vendor including security, financial, and operational concerns.

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

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

The process of verifying the identity, suitability, and risks of customers in financial transactions.

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