Compliance

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.

Control Framework

A structured set of controls and processes designed to manage risk and ensure compliance with regulations.

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.

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 process of identifying, assessing, and controlling threats to an organisation's capital and operations.

A systematic evaluation of the potential social, economic, and civil rights impacts of an automated decision-making system before and after deployment.

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

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

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

An independent assurance function that evaluates the effectiveness of an organisation's internal controls and governance.

A process required under GDPR for assessing the risks of personal data processing activities and identifying measures to mitigate those risks before implementation.