Invasion of Populism on Data Security

Populism associated with data gathering, data processing, and its use can take many forms. Within those forms are both constructive and destructive motivations for acquiring data about our personal lives and/or organization operations. The leakage of data has become a top-of-mind concern for individuals and organization leaders alike. Multiple data generation and distribution points within systems, platforms, and networks expose attack surfaces that invite the potential for data leakage; the greater the number of attack surfaces the greater is its venerability to be attacked. Federated learning, techniques to train data in a way that is sensitive to privacy concerns, works to safeguard data through algorithms that generalize but do not individualize data, to prevent personal data from being compromised.