Data & Database Security for AWS (Amazon Web Services)
DataSunrise is an AWS ISV Accelerate Partner that protects databases, data warehouses, AI endpoints, and file storage across your AWS environment — from Amazon RDS and Redshift to Bedrock and OpenSearch. Activity monitoring, data masking, sensitive data discovery, and compliance automation — all from a single proxy that requires no changes to your existing architecture.
Secure your database on AWS.
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Why teams choose DataSunrise for AWS
Compliance — built in
Automated reports for GDPR, HIPAA, PCI DSS, SOX — and EU AI Act for AI workloads on Bedrock.
Protection from every angle
Database firewall, dynamic masking, behavioral analysis — covering SQL, NoSQL, and AI endpoints equally.
Zero-friction deployment
Proxy-based architecture — no changes to your databases or applications. Deploy via EC2, ECS Fargate, or CloudFormation.
24/7 DataSunrise Protection in the Cloud
- CloudFormation for automatically deploying DataSunrise in high availability configuration
- Quick and uninterrupted operation of DataSunrise as a high availability cluster
- Integration with CloudWatch to monitor operational and performance metrics for your AWS cloud resources and applications
- Granting user access to your AWS-based database through IAM
- DataSunrise AWS ECS Fargate and in AWS Outposts
- DataSunrise’s Database Activity Monitoring includes the integration with RDS Database Activity Streams (DAS)
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DownloadAWS manages the security OF the cloud while
You are responsible for managing security IN the cloud
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DataSunrise Architecture on AWS
Securing AI workloads on AWS
As teams adopt Amazon Bedrock and OpenSearch for RAG pipelines and generative AI, the attack surface expands beyond traditional databases. DataSunrise monitors prompts, responses, and vector queries — applying the same audit and masking policies you use for RDS, to every AI interaction.
Amazon Bedrock
Monitor and audit LLM prompts and responses. Mask sensitive data before it reaches the model.
Amazon OpenSearch
Audit vector search queries in RAG pipelines. Discover and protect sensitive data in embeddings.
Unified policies
One console for databases and AI endpoints — consistent compliance across your entire AWS data stack.
