Data Enrichment by Teramind uses publicly available sources like social media posts and online forums to identify warning signs of user compromise, blackmail, or fraud. It helps surface red flags even when the full context of a user is unclear. Data Enrichment enhances understanding of employee behavior by incorporating data from external sources, allowing employers to move beyond just at-work behavioral data to gain a deeper understanding of employees. It provides insights from Teramind’s pseudonymized user data to compare user behavior with similar roles, benefiting from insights derived from 10 years of deployment history. Teramind AI Engine leverages a powerful AI engine trained on large user datasets to aggregate, correlate, and derive rapid insights, saving hours or weeks of analysis. Data Enrichment can correlate user trends connecting at-work and online behaviors for deeper insight, giving a full picture of a user, including applications and websites they frequent during work hours.
