Engitech

Data governance

Automate governance and privacy to improve data trust, protection and compliance.
The growing volume of data across a hybrid cloud landscape presents a governance and protection challenge. Fortunately, a data fabric can abstract away the technological complexities to improve data governance, quality and privacy with automation

Key capabilities

Active metadata

Automatically apply metadata to new datasets to enable discovery, consistent understanding and trustworthiness of data.

Regulatory policy auto-extraction

Use AI ML to review new or existing regulatory documents, determine rulesets and automatically apply them to data— whether from the company, industry, or governmental regulatory body.

Data quality assessments

Auto-generate data quality assessments and scoring, provide AI-based dataset recommendations, and offer robust search methods to help take the guesswork out of data selection.

Data safeguards

Enforce data protection rules dynamically to address data privacy requirements. Employ advanced de-identification techniques to mask sensitive data.

Data privacy risk assessment

Get risk insights fast and remove subjectivity from the decision-making process by automatically scanning data assets for re-identification risk.