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Securing Multi-Tenant Analytics Platform forBizcerebro

Bizcerebro is a multi-tenant Decision Support System delivering real estate analytics and forecasting capabilities. The platform is deployed in AWS Region ap-south-1 using Amazon CloudFront as the primary edge delivery, authentication, and security layer. Requests are validated using Lambda@Edge, routed through an Application Load Balancer, and processed by EC2-based application servers in private subnets. The system integrates with Amazon S3, AWS KMS, AWS Secrets Manager, and is monitored using Amazon CloudWatch and AWS CloudTrail, with CI/CD managed via AWS CodePipeline and Bitbucket.

Challenges

Multi-tenant architecture required strict tenant isolation and request
validation.

Authentication needed to be enforced before traffic reached backend
systems.

Sensitive data and API access required end-to-end encryption and secure key
management.

Preventing unauthorized origin access was critical for security.

Needed strong monitoring, auditability, and compliance tracking.

Solutions Provided

  • Implemented Amazon CloudFront with HTTPS-only enforcement and tenant
    wildcard certificate.
  • Deployed Lambda@Edge to:
    o Validate JWT tokens
    o Perform tenant-based routing at the edge
  • Configured Application Load Balancer to reject requests without X-Origin Verify header.
  • Enabled SSE-KMS encryption across:
    o Amazon S3 (frontend + logs)
    o Amazon EBS
    o Amazon RDS
  • Used AWS Secrets Manager for:
    o JWKS keys
    o Origin verification secret
    o RDS credentials with automatic rotation
  • Enabled centralized monitoring using Amazon CloudWatch and auditing via
    AWS CloudTrail.
  • Implemented CI/CD using AWS CodePipeline integrated with Bitbucket.

Result Outcome

Authentication enforced at the edge layer, preventing unauthorized backend
access.

Strong tenant isolation achieved using Lambda@Edge and request headers.

Fully encrypted system across data in transit and at rest.

Reduced attack surface by keeping all core resources in private subnets.

Improved visibility with centralized logging and monitoring.

Success Metrics

Edge-level JWT validation implemented for all incoming requests

100% HTTPS enforcement across the platform

Secure origin access using custom header validation

Automated secret rotation without downtime

Full audit trail via CloudTrail and CloudWatch logs

Conclusion

By leveraging CloudFront, Lambda@Edge, KMS, Secrets Manager, and private VPC architecture, Bizcerebro built a highly secure and scalable multi-tenant analytics platform. The solution ensured strong authentication, tenant isolation, and compliance readiness while enabling seamless scalability for future growth.