SecuPi for AWS delivers centralized data security, privacy and regulatory compliance, column-level encryption and decryption, and full audit, monitoring, and control of sensitive data across AWS Bedrock, analytical on operational workloads with dynamic, policy-driven data protection that is easy to deploy and maintain.
AWS Coverage
SecuPi secures sensitive data across the AWS analytics and data stack, including:
- Amazon Bedrock
- Amazon Redshift (provisioned & serverless)
- Amazon RDS / Aurora, SQL and no-SQL databases
- Amazon S3
- AWS Glue (ingestion and ETL pipelines)
- Amazon Athena
- EMR / Spark
- Lift-and-shift analytics applications, BI tools, and web-based query interfaces
SecuPi discovers sensitive data, monitors user activity in real time, and enforces anonymization, encryption, and access control policies – centrally and consistently – across ingestion, storage, and consumption layers.
How SecuPi Protects AWS Analytics
SecuPi applies a mix-and-match protection model to balance security and usability:
- Audit, monitor, and apply UEBA on remaining sensitive columns to prevent misuse and privileged abuse
- Attribute-Based Access Control based on user and data attributes
- Encrypt at rest for highly sensitive fields
(e.g. PAN, SSN, National ID) - Encrypt in-use or dynamically mask moderately sensitive data
(e.g. salary, email, phone)
This approach avoids over-encryption while maintaining compliance and analytics performance.
SecuPi Enforcement Deployment Options (application transparent Changes)
To transparently protect AWS analytics workloads, SecuPi supports multiple enforcement methods:
- ODBC / JDBC / native driver bridges for Redshift, RDS, Athena, and BI tools
- Transparent Application overlays (instrumentation agents)
- Reverse proxies for data platforms and API traffic
These options enable protection of:
- Ingestion pipelines (e.g., AWS Glue → Redshift/S3)
- Analytics workloads (Athena, Redshift, EMR)
- Lift-and-shift applications and admin tools
All deployments are agentless at the database layer and require no application or schema changes.
Implementation Model
SecuPi is field-proven in large, multinational enterprises protecting hundreds of thousands of sensitive data elements in AWS.
Simple operational flow:
- Policy definition and distribution: enforced across ingestion and consumption Enforcers
- Runtime enforcement: user identity, data attributes, consent, and geography evaluated in real time
Policies take effect immediately, with no disruption to analytics or business operations.
Watch this video to see how the SecuPi solution for AWS Data Platforms works: