BigID Introduces SmallID in the AWS Marketplace: Start Small Before You Go Big
Find, Catalog, and Classify AWS Data
BigID, the leader in data discovery and intelligence for privacy, protection and perspective, announced the beta release for SmallID: now available for beta preview. With SmallID, Customers can manage and protect their sensitive, critical, personal, and regulated data on AWS – with deep data intelligence and actionable insight.
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Security and compliance are primary considerations for customers moving to and adopting cloud technologies. SmallID brings visibility, classification, and cataloging to data stored in AWS.
A cloud-native solution delivered via AWS Marketplace, SmallID empowers organizations to:
- Automatically find, classify, and catalog their personal, sensitive, and regulated data stored in AWS
- Leverage ML-based discovery and classification
- Gain visibility into over permissioned sensitive data
- Reduce risk of data leaks, breaches, and compromised critical data
- Achieve compliance in the cloud
- Optimize and de-risk cloud migrations
- Easily integrate with AWS Security Hub and AWS CloudWatch
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SmallID provides in-place discovery for key AWS services, accelerates time to visibility and insight with intelligent scans & next-gen ML-based classification, and helps organizations of all sizes manage data risk with intuitive dashboards.
By teaming with Amazon Web Services (AWS), SmallID and AWS provide complete cloud services and data intelligence to give organizations the ability to manage, monitor, and protect their sensitive, personal, and regulated data in AWS.
“BigID pioneered the category of data discovery for privacy, protection, and perspective” said Nimrod Vax, Head of Product and Co-founder of BigID. “We’re thrilled to bring SmallID to the market, purpose-built for organizations who store data in AWS. With the introduction of SmallID, we’re empowering customers to easily get insight into their AWS data to align with data privacy regulations, fulfill data protection initiatives and extend data governance.”
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