Attendees of this webinar learned about the following topics:
- Where Cloud DLP can help:
- Discover where sensitive data exists in the environment
- Provide valuable insights and understand risk of managed data
- Reduce inadvertent collection of sensitive data ("data minimization") in real-time or batch workloads
- Process sensitive workloads with reduced risk through data de-identification and obfuscation
- What DLP can do:
- Classification of sensitive data such as Personally Identifiable Information (PII)
- Data masking, format-preserving encryption, and transformation
- Data de-identification
- Pseudonymization of data to reduce identification through outliers
- Re-identification risk analysis (k-anonymity)
- DLP capabilities specific to Financial Services, Health Care, and Life Sciences:
- Automate discover and classification of sensitive data
- Automate de-identification pipelines
- Run statistical risk analysis on data to help with HIPAA "Expert Determination"