Protect health information from leaking over SaaS platforms
HIPAA is generally a challenging problem for data governance due to lack of ‘context-awareness’ of data entities such as over-alerting for Date of Births. Polymer identifies and remediates true positives vs noise with a simple to use platform
Polymer’s unique ‘ML-Syntesizer’ allows highly granular contextual rules to be defined (or let the machine learn them in days). This increases accuracy to over 90% in less than 10 days in most organizations.
A self-learning engine that can remove sensitive data entities within documents, images. This removes the risk without increasing overhead from resolving these incidences manually
Full transactional audit of all events and users associated with high-risk incidents. An optional employee risk scoring engine can isolate users who require additional training.
