Data Privacy Job Market Trends

Ensures that products meet security standards and regulations, protecting against vulnerabilities and threats.

The field of study that deals with the moral implications and responsibilities of artificial intelligence. It focuses on ensuring AI systems are designed and used in ways that adhere to ethical standards and benefit society.

Refers to data that is distributed across multiple locations or systems, rather than being stored in a central repository.

Designs and develops application programming interfaces (APIs), enabling different software systems to communicate and interact with each other.

Specializing in the construction and maintenance of scalable data architectures, Data Platform Engineers utilize big data technologies to enhance analytics and business intelligence capabilities.

A data security platform that provides automated data access control and privacy management for cloud data platforms.

Artificially generated data used to train AI models, often employed when real data is scarce or sensitive.

A machine learning approach where models are trained across multiple decentralized devices without sharing raw data.

Responsible for overseeing an organization's information management policies and compliance with data protection regulations. Ensures that data is used and stored appropriately to mitigate legal and security risks.