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Fintech SecurityAI Fraud DetectionPCI DSSAWS

AI-Powered Fraud Detection and Compliance

Claude-Driven Fraud Detection and Continuous Compliance on AWS

Cloud-native fraud detection and compliance automation platform for a digital payments provider, combining Anthropic's Claude API with AWS infrastructure to deliver real-time transaction anomaly analysis, automated incident response, and continuous PCI DSS and PSD2 compliance monitoring.

Claude API (Anthropic)AWS Lambda, EC2, S3WS KMS and Secrets ManagerAWS IAM and Security HubMCP ServersCloudTrail and CloudWatchTypeScript / Python
60%Fewer False Positives
24/7AI Fraud Monitoring
PCI DSSContinuous Compliance
100%Auditable AI Decisions

The Problem

  • High volume of transactions making manual fraud review impossible
  • Rules-based fraud engines generating excessive false positives, blocking legitimate users
  • Fragmented AWS security signals (GuardDuty, IAM, CloudTrail) with no unified context
  • PCI DSS and PSD2 audits requiring weeks of manual evidence gathering
  • Slow SecOps response to suspicious access patterns on cardholder data environments (CDE)

The Solution

  • Claude-powered fraud analyst layer reasoning over transaction patterns, device fingerprints, and behavioral signals
  • MCP server bridging Claude with AWS APIs for live investigation across CDE accounts
  • Lambda-based auto-response pipeline for low-risk events (step-up auth, soft block, session revocation)
  • Continuous IAM posture scanning for over-privileged roles touching cardholder data
  • AI-generated compliance evidence mapped per PCI DSS and PSD2 control
  • Human-in-the-loop approval flow for high-impact actions (account freeze, fund hold)

Our Approach

  1. 1 Mapped transaction flows, CDE boundaries, and existing SecOps and AML workflows
  2. 2 Built custom MCP server exposing AWS and payment APIs to Claude with least-privilege scoping
  3. 3 Designed three-tier response system (auto-remediate / suggest / escalate to analyst)
  4. 4 Tuned prompt engineering pipeline for consistent fraud classification and reduced false positives
  5. 5 Implemented full audit logging, every Claude-initiated decision traceable for regulators

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