Secure, Scalable AI/ML Infrastructure on AWS for Financial Services

The Trilagen Financial Intelligence Platform enables banks, fintechs, insurers, and asset managers to modernize critical operations, automate risk workflows, and unlock AI-driven insights across business units. From fraud detection and credit modeling to document intelligence and regulatory compliance, this platform provides the secure, flexible foundation needed to meet today’s complex financial demands.

Highlights:

• End-to-end automation for financial workflows and reporting
• AI/ML tools for fraud, risk, and customer intelligence
• Scalable analytics for transactional, behavioral, and market data
• Built-in controls for data privacy, compliance, and auditability
• Modular architecture to integrate across legacy and cloud systems

Key Benefits: *** Faster Time to Insight:** Automate manual processes and accelerate decision-making

• AI-Driven Precision: Improve accuracy in risk, fraud, and customer assessments
• Regulatory Ready: Security and compliance baked into every layer
• Flexible Deployment: Integrates seamlessly across data lakes, CRMs, and internal systems

Example AWS Services:

• Amazon SageMaker for training AI/ML models for credit risk scoring, fraud detection, and customer segmentation
• AWS Glue and Amazon Athena for scalable data transformation across structured and semi-structured financial data
• Amazon Redshift for secure analytics at scale across transactional and behavioral datasets
• Amazon Textract for document intelligence (e.g., onboarding, KYC, loan applications)
• AWS IAM, AWS KMS, and AWS Config to enforce enterprise-grade governance and compliance with FINRA, GDPR, and SOX requirements
• AWS CloudWatch for logging, monitoring, and performance visibility