De-identify sensitive data, including personally identifiable information (PII), through pseudonymization and anonymization for secondary use or analysis, such as comparative effectiveness studies, policy assessment and life sciences research. This is critical as organizations gather and compile large amounts of business data to understand trends, gain insights into customer preferences and develop new innovations. Regulations such as HIPAA and GDPR require that data be de-identified, but the challenge is that many de-identification tools focus on eliminating personal identifiers, but make it difficult to use the data. Transform PII into data that cannot be used to identify data while ensuring privacy using data anonymization and pseudonymization techniques. This allows you to effectively analyze large amounts of data without violating privacy regulations.
Brochures
Learn how Analytic DiD (ADiD) allows business utility of personally identifiable information (PII) without violating privacy regulations.
Solutions
Fasoo takes a different approach than today’s traditional solutions. We push controls and security to what needs
protection – the file – and bind them so safeguards travel everywhere with the file.
AnalyticDiD is an intelligent de-identification solution that transforms sensitive data into anonymized or pseudonymized data.
Anonymization is a data processing technique used to protect individual privacy by removing or altering personally identifiable information (PII) in data sets, ensuring that individuals cannot be identified. It is widely used to facilitate the analysis and sharing of sensitive information, such as medical records or financial data. Anonymization methods include data masking, pseudonymization, and generalization, which transform identifiable data into a form that cannot be traced back to an individual. This allows organizations to use and share data for analysis, research, or public release without compromising data privacy or regulatory compliance.
Join us to learn how to protect your unstructured data at rest, in transit, and in use in today’s AI-powered, hybrid workd environment.
