AustraliaFinance and insurance2024 – ongoingAustralian Unity
Machine-learning discovery of sensitive information
Australian Unity used BigID to find sensitive information on a shared drive and remediate it
Problem
Australian Unity needed to locate sensitive information across its storage systems, including copies outside originating applications. Its health-insurance and wealth-management operations also faced different retention requirements.
Approach
The mutual deployed BigID's machine-learning tool to scan its environment for sensitive data. Its general manager of data and analytics said the tool found sensitive information in a newly created shared-drive folder, allowing remediation.
Results
No published figures
Takeaway
The reported benefit came from finding a misplaced copy of information, extending data controls beyond the originating system.
Categories
- Industry
- Finance and insurance
- Business function
- Finance, risk and legal
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Vendor solution
- Goal
- Quality and risk
- Evidence
- Company's own claim
Sources
Source summaries
Australian Unity's data executive described BigID as a production AI application for finding sensitive information. He reported a shared-drive discovery that enabled remediation and said the tool supported differing data-lifecycle requirements.
Full details are in the original sources.
