Solution Accelerator

Crego.ai Strengthens Security and Compliance with AWS-Native Security Controls

Customer Overview

Customer: Crego.ai
Industry: Financial Services / FinTech
Website: https://www.crego.ai

Crego.ai is a technology-driven lending ecosystem that connects banks, NBFCs, and financial institutions with digital lending channels. As a platform handling sensitive customer information, credit records, and financial transactions, security, compliance, and operational resilience are critical business requirements.

Business Challenge

As Crego.ai continued to scale its platform and onboard additional financial partners, it required a security architecture capable of meeting stringent financial-services security expectations while supporting rapid growth.

Key Objectives

  • Establishing centralized management of secrets and encryption keys.

 

  • Strengthening identity and access controls across cloud resources.

 

  • Protecting customer-facing APIs against evolving web-based threats.

 

  • Improving security visibility and operational monitoring.

 

  • Implementing security best practices aligned with AWS Well-Architected and financial industry requirements.

Crego.ai engaged DevSecCops.ai to modernize its AWS security architecture and implement a scalable, cloud-native security framework.

Solution Overview

DevSecCops.ai designed and implemented a comprehensive AWS-native security architecture focused on identity management, cryptographic protection, workload isolation, and continuous monitoring.

Solution Components

  • Amazon API Gateway for secure API exposure and traffic management.

 

  • AWS WAF for application-layer threat protection.

 

  • Amazon EKS deployed within private networking environments for containerized workloads.

 

  • Amazon Cognito for user authentication and authorization.

 

  • AWS KMS for centralized encryption key management.

 

  • AWS Secrets Manager for secure storage and lifecycle management of application secrets.

 

  • Amazon CloudWatch and Amazon SNS for monitoring, alerting, and operational visibility.

All sensitive data stores, application secrets, and infrastructure components were integrated into a centralized security governance model.

Security Enhancements Implemented

Fine-Grained IAM Access Controls

DevSecCops.ai implemented least-privilege IAM policies using resource-specific permissions wherever applicable. Access controls were aligned to operational responsibilities and restricted to approved AWS resources, reducing the overall attack surface and improving governance.

Centralized Secrets and Cryptographic Key Management

Application credentials, database passwords, and third-party integration tokens were migrated to AWS Secrets Manager. Encryption was enforced using AWS KMS Customer Managed Keys (CMKs), enabling centralized control, auditing, and secure secret lifecycle management.

Advanced API Protection and Security Monitoring

Custom AWS WAF rules were deployed to help identify and block malicious API traffic, including common injection and reconnaissance attempts. Amazon CloudWatch metrics and alarms were configured to monitor abnormal traffic patterns and application behavior, with automated notifications delivered through Amazon SNS.

Going Beyond AWS Security Best Practices

To further strengthen its cloud security posture, Crego.ai integrated Wiz with its Amazon EKS environment. This provided continuous visibility into infrastructure configurations, container images, and workload security posture, enabling proactive risk identification and remediation.

AWS Services Used

  • AWS Identity and Access Management (IAM)

 

  • AWS Key Management Service (AWS KMS)

 

  • AWS Secrets Manager

 

  • AWS WAF

 

  • Amazon CloudWatch

 

  • Amazon Simple Notification Service (Amazon SNS)

 

  • Amazon API Gateway

 

  • Amazon Cognito

 

  • Amazon Elastic Kubernetes Service (Amazon EKS)

 

  • AWS Certificate Manager (ACM)

 

  • Amazon Route 53

Business Outcomes

Following implementation, Crego.ai achieved significant improvements in security governance and operational maturity.

Key Outcomes

  • Migrated 100% of production application secrets and credentials to AWS Secrets Manager.

 

  • Established centralized encryption key management using AWS KMS.

 

  • Implemented secure API protection using AWS WAF and API Gateway.

 

  • Achieved isolation of core financial workloads within private network segments.

 

  • Improved monitoring and incident response through automated alerting and security visibility.

 

  • Strengthened alignment with financial-services security and compliance requirements.

Conclusion

By leveraging AWS-native security services and implementing a layered security architecture, Crego.ai strengthened the protection of sensitive financial data, improved operational visibility, and established a scalable foundation for continued growth. The solution enables Crego.ai to maintain strong security controls while supporting the agility required in a rapidly evolving FinTech environment.

crego architecture