Digital Lending Enterprise Architecture Case Study-EA Blueprint
- Anand Nerurkar
- Oct 1
- 19 min read
📌 Digital Lending Enterprise Architecture Case Study
Customer: Amit RBuilder: Prestige GroupBank: ABC BankRole: Enterprise Architect
1. Enterprise Strategy & Vision
The digital lending transformation aims to:
Deliver seamless end-to-end loan processing for customers like Amit R.
Enable trusted collaboration with external parties (builders, regulators, bureaus).
Ensure regulatory compliance (RBI, SEBI, FIU-IND).
Drive scalability & resilience through microservices + cloud-native deployment (Azure/AWS/GCP).
Integrate AI/GenAI for customer experience (loan FAQs, advisory, fraud insights).
As Enterprise Architect, I defined the strategic roadmap ensuring long-term IT investment alignment with business growth.
2. Business–IT Alignment
Business Goal: Faster disbursal, compliance adherence, customer trust.
IT Enablement:
Onboarding microservices with Fenergo integration for KYC/CDD/EDD.
Risk & fraud workflows via Actimize (AML/Financial Crime) + Experian Hunter (Fraud Score).
Creditworthiness checks with CIBIL/Experian APIs.
SailPoint Identity Governance to ensure RBAC (maker/checker/approver) across systems.
Compliance reporting integration with FIU-IND & RBI.
KPIs: TAT reduced by 60%, compliance audit scores >98%, fraud detection accuracy 95%, NPA reduction by 20%
3. Capability Map
Core Capabilities:
Customer Onboarding
Identity & Access Governance (SailPoint + Azure AD)
KYC/CDD/EDD (Fenergo)
AML & Financial Crime (Actimize)
Credit Risk Assessment (CIBIL/Experian)
Fraud Detection (Experian Hunter)
Loan Evaluation & Underwriting
Loan Agreement & Disbursement
Compliance & Regulatory Reporting (FIU-IND, RBI)
Customer Engagement (GenAI Assistant)
Capability → Service Map
Onboarding Capability → Onboarding Service (Microservice)
KYC Capability → Fenergo Integration Service
AML Capability → Actimize Integration Service
Credit Risk Capability → Credit Bureau API Service
Fraud Detection Capability → Fraud Scoring Service
Loan Evaluation Capability → Decision Engine Service
Agreement Capability → Document Management Service
Disbursement Capability → Core Banking Integration Service
Compliance Capability → Regulatory Reporting Service
Customer Engagement Capability → GenAI Chatbot Service
Capability → Application Map
Identity Governance → SailPoint, Azure AD
KYC/EDD/CDD → Fenergo
AML/Crime → Actimize
Credit Score → CIBIL/Experian APIs
Fraud Score → Experian Hunter
Loan Decision → Custom Decision Engine
Agreement → DocuSign + DMS
Disbursement → Core Banking CBS
Compliance Reporting → Actimize + FIU-IND Gateway
Customer Advisory → GenAI Advisor
4. Legacy Modernization Approach
EJB → Spring Boot Microservices
Use automated code migration tools (e.g., IBM Mono2Micro, Modern Systems) to analyze dependencies and auto-generate Spring Boot skeletons.
PL/SQL Stored Procedures → Microservices
Extract business logic, refactor into Java microservices with JPA/Hibernate.
Wrap remaining DB logic as REST APIs.
Proc*C Batch Jobs → Spring Batch
Modernize to Spring Batch/Quartz jobs for loan settlement, compliance file processing.
Containerize in AKS for scalability.
Oracle Forms → Angular/React
Use UI modernization tools (e.g., OpenLegacy, AuraPlayer) to auto-generate Angular components.
Gradually decommission forms.
Legacy Modernization Approach
Legacy Asset | Modernization Approach | Tools/Automation |
EJB Monoliths | Refactored into Spring Boot Microservices | IBM Mono2Micro, OpenRewrite |
PL/SQL Stored Procedures | Migrated to Spring Batch Jobs | AWS SCT, custom code generators |
Oracle Forms | Rebuilt as Angular + React web apps | Oracle Forms Migration Tool |
Proc*C Jobs | Modernized into Spring Batch with Kafka triggers | Apache Camel |
ESB Integrations | Replaced with Kafka + API Gateway | Azure API Management |
Frameworks & Standard
1. Enterprise Architecture Frameworks
TOGAF 9.2 (The Open Group Architecture Framework)
Applied ADM cycle (Architecture Development Method) for business, application, data, and technology architecture.
Built Capability Map → Application Map → Service/Technology Map.
Created Roadmap & Transition Architectures for phased modernization.
Defined Architecture Principles (Cloud-first, API-first, Zero Trust, AI-enabled).
BIZBOK (Business Architecture Guild)
Used for business capability modeling and aligning with lending KPIs.
Helped stakeholders see which business outcomes → which IT services.
2. Security Frameworks
NIST Cybersecurity Framework (CSF) → Identify, Protect, Detect, Respond, Recover.
ISO 27001 & RBI Cyber Security Guidelines → to ensure regulatory compliance.
Zero Trust Security Model (Forrester-based):
Enforced least privilege access via Azure AD + SailPoint.
Network micro-segmentation via Istio Service Mesh.
Continuous Authentication/Authorization using risk-based policies.
OWASP ASVS + DevSecOps → integrated into CI/CD pipelines for vulnerability scanning.
3. Governance & Compliance Frameworks
COBIT 2019 (Control Objectives for Information and Related Technology)
For IT governance, decision rights, accountability matrix.
Defined EA-level guardrails for risk, compliance, and investment tracking.
ITIL v4 (Service Management)
For operational governance – incident, problem, change management.
Linked to Ops KPIs (MTTR, SLA compliance, uptime).
Regulatory Compliance Alignment
FATCA, OFAC, FIU-IND, RBI KYC/CDD → embedded into architecture.
GDPR/DPDP Act (India 2023) → data privacy & consent tracking.
Architecture Governance Board (EAB)
Reviews designs, approves patterns, tracks risk register.
4. Collaboration & Delivery Frameworks
Scaled Agile Framework (SAFe 6.0)
Used for multi-squad Agile delivery.
Squads → Feature Teams → ART (SAFe).
EA ensures alignment with Roadmap, KPIs, Compliance.
Maintained Program Increment (PI) planning cadence.
Gave visibility to CIO, CRO, CTO via Agile Release Trains (ARTs).
DevOps & DevSecOps Operating Model
Shift-left testing, policy-as-code (Terraform + Azure Policy).
Integrated SAST, DAST, SCA, IaC scans.
Automated security scans, compliance gates, audit log generation.
Architecture Governance Board (EAB)
Chaired by EA (you) with CIO, CRO, Security Head.
Approved design patterns, reviewed architecture deviations.
Ensured KPIs tracked across business, delivery, security, compliance, operations.
6. Technology Evaluation & Selection
Java 17
Microservices: Spring Boot + Kafka
UI Modernization: Oracle Forms → Angular
Batch Modernization: Proc*C → Spring Batch
Legacy Code Conversion: Automated tools (EJB → Java Microservices, PL/SQL → REST APIs)
Azure AD + SailPoint → Identity, Governance, Zero Trust.
Fenergo → RegTech for KYC/EDD/CDD.
Actimize → AML + Financial Crime management.
Experian + CIBIL → Credit/Fraud assessment APIs.
Kafka → Event streaming for real-time credit/fraud alerts.
Cloud Platform: Azure AKS, API Management, Key Vault, Monitor
DevOps: Azure DevOps (CI/CD), Terraform (IaC)
DevSecOps: SAST (SonarQube), DAST (OWASP ZAP), Container Scanning (Aqua/Trivy)
ELK + Prometheus/Grafana → Observability.
GenAI Framework → Loan FAQ + advisory chatbot.
7 Standards, Patterns, Principles
🔹 Architecture Principles
Cloud-First, API-First – all new services are cloud-native and API-enabled.
Security by Design – every microservice follows “least privilege” and is scanned in CI/CD pipelines.
Compliance-Driven – regulatory obligations (SEBI, RBI, FATCA, OFAC, GDPR) embedded into architecture.
Reuse over Build – prefer reusing enterprise services (KYC, Credit Scoring, AML) before building anew.
Event-Driven & Real-Time – Kafka backbone for streaming data (fraud alerts, credit checks).
Data is an Asset – single source of truth (golden customer record), data lineage, audit trails.
Observability & Transparency – monitoring, logging, tracing integrated into every layer.
Vendor-Agnostic – core services remain portable across Azure/AWS/GCP where possible.
Automation First – IaC, automated regression, auto ML retraining pipelines.
Customer-Centric – architecture optimized for faster, simpler lending journeys.
🔹 Architecture Standards
Microservices Standards:
Spring Boot, Java 17, REST/gRPC, Kafka for event streaming.
Circuit breaker pattern (Resilience4j), API Gateway (Azure APIM).
Idempotency for all financial transactions.
Security Standards:
OWASP Top 10 compliance.
Encryption (AES-256 at rest, TLS 1.3 in transit).
Azure Key Vault for secrets.
SailPoint-driven role lifecycle, JML (Joiner-Mover-Leaver) automation.
Data Standards:
Master Data Management (MDM) for customer profile.
Data quality rules defined for KYC/AML.
GDPR-compliant PII anonymization.
DevOps Standards:
IaC with Terraform/Bicep.
CI/CD with gated builds, SAST/DAST, container scans.
Blue-green & canary deployments.
🔹 Design & Integration Patterns
Event-Driven Pattern: Loan events → Kafka → downstream microservices (AML, Fraud).
Strangler Fig Pattern: Gradually replace legacy CBS modules with microservices.
Anti-Corruption Layer: Between new microservices and Finacle/BaNCS.
Saga Pattern: Distributed loan transaction consistency.
CQRS & Event Sourcing: For credit decisioning and fraud audit trails.
API Façade Pattern: Hide legacy CBS APIs with modern REST façade.
Batch Offload Pattern: Legacy Proc*C → Spring Batch with event triggers.
8 Security Across Hops
UI → API Gateway → Identity (Azure AD) → IAM Governance (SailPoint)- WAF + DDoS protection.
API → Microservices (JWT, mTLS, OAuth2)
Microservices → External Partners (Fenergo, Actimize, CIBIL, Experian) secured via VPN/IPSec + API keys+Secure APIs + SFTP with checksum validation.
Data at Rest: Encrypted (AES-256), Key Vault
Data in Motion: TLS 1.3
Audit Logging: Immutable log store (ELK + WORM storage)
Batch Jobs → Actimize ETL → FIU/RBI → Audit log, checksum, dual encryption.
IAM → Azure AD + SailPoint (governance, SoD, certification).
9.DevOps & DevSecOps Pipeline & AI/ML Adoption
CI/CD: Azure DevOps Pipelines → build, test, deploy microservices into AKS.
IaC → Terraform + Azure Bicep for infra provisioning.
DevSecOps Controls:
SAST (SonarQube, Checkmarx).
DAST (OWASP ZAP, Burp Suite).
SCA (dependency scanning).
Secrets Mgmt: Azure Key Vault.
Policy Enforcement: OPA, Azure Policy.
Observability: ELK, Prometheus, Grafana for logs/metrics/traces.
Blue/Green Deployments for risk-free rollouts.
Observability → ELK + Prometheus + Grafana + Azure Monitor.
Zero Trust Security → Azure AD, Key Vault, WAF, NSG, Istio mTLS.
SRE: SLIs/SLOs for loan services, monitoring (Prometheus/Grafana, ELK).
AI/GenAI:
Loan FAQ chatbot (LangChain, Spring AI).
Fraud explainability (XAI – SHAP, LIME).
Document automation (PAN/Aadhaar extraction).
10.KPI To Be Tracked
1. Business Outcome KPIs (Customer & Business Value)
Loan Approval TAT: Reduced from 15–20 days → <48 hours.
Customer Drop-Off Rate (Onboarding): Reduced by 30%.
Net Promoter Score (NPS): Improved by 25% (better digital CX).
Fraud Loss Reduction: Achieved 20% lower fraud-related write-offs.
Loan Disbursal Growth: Increased disbursement volume by 40% YOY.
Regulatory Penalties: 0 incidents post transformation.
2. Delivery KPIs (Agile & Engineering)
Release Frequency: From 1 release in 8 weeks → 1 release every 2 weeks.
Cycle Time (Idea to Production): Reduced by 35%.
Deployment Automation: 95% of deployments automated via DevOps.
Defect Density (Prod vs UAT): Reduced by 30%.
Modernization Coverage: 100% migration of EJB, PL/SQL, Proc*C to microservices.
Automation Accelerators: Achieved 40% faster migration using code generation tools.
3. Security KPIs
IAM Compliance (Access Recertification): 98% completion on time via SailPoint.
Critical Vulnerabilities (CVEs): Reduced by 40% (via DevSecOps pipelines).
MFA Adoption: 100% for external users, 95% for internal staff.
Zero Trust Readiness: 100% critical services covered with RBAC + network micro-segmentation.
Data Security: 100% sensitive data encrypted at rest & in transit.
4. Compliance & Governance KPIs
Regulatory Report Accuracy (CTR, STR, NTR, CBWR): 100% submission with no rejections by FIU-IND.
RBI KYC/CDD/EDD Audits: 100% compliance achieved, no audit findings.
GDPR/PII Access Exceptions: Reduced to <2%.
IGA Coverage: 95% applications integrated with SailPoint for governance.
Audit-Readiness: SLA of 24 hours to provide evidence for any audit.
5. Operational KPIs (Resiliency, Performance, Observability)
Uptime / Availability: Achieved 99.99% via Azure Front Door + AKS active-active setup.
System Throughput: Supported 5K–8K TPS sustained without degradation.
Incident MTTR: Reduced from 8 hours → 1 hour (via SRE practices).
Monitoring Coverage: 95% services integrated with Prometheus + Grafana + ELK.
Scalability: Auto-scale to 3x load during seasonal peaks (e.g., festive home loan offers).
Partner & Integration Landscape
Fenergo → KYC/CDD/EDD workflows, API integration.
Actimize → AML/Fraud detection, CTR/STR/NTR/CBWR reports, FIU-IND integration.
Experian / CIBIL → Credit Score API.
Experian Hunter → Fraud Score API.
TCS BaNCS / Finacle → Core Banking System.
ABC Bank Batch Jobs → SFTP → Actimize ingestion → ETL pipeline → FIU-IND reporting.
11. RACI Matrix (Sample)
Function | Responsible | Accountable | Consulted | Informed |
KYC/EDD/CDD (Fenergo) | Compliance Team | Chief Risk Officer | IT Security, EA | Regulators |
AML (Actimize) | AML Ops | CRO | IT, EA | FIU-IND |
Credit Score | Risk Mgmt | CRO | EA | Customer |
Fraud Score | Fraud Ops | CRO | EA | Audit |
Loan Evaluation | Underwriting | CIO | EA | Business |
Agreement Mgmt | Legal | COO | IT | Customer |
Disbursement | Operations | COO | IT | Builder |
Compliance Reporting | Compliance Ops | CRO | EA | FIU-IND/RBI |
RACI Matrix – Digital Lending Transformation
Activity / Deliverable | Enterprise Architect (You) | CTO / CIO | Business Team | Security (CISO, IAM, SailPoint) | Compliance / Risk | IT Delivery / DevOps | Vendors (Fenergo, Actimize, Finacle, TCS BaNCS) |
Define Vision & Roadmap | R | A | C | C | C | I | I |
Capability Maps & Alignment | R | A | C | C | C | I | I |
Legacy Modernization Blueprint | R | A | I | C | I | C | I |
Cloud Migration Strategy (CAST/vFunction) | R | A | I | C | I | C | I |
Target Cloud-native Architecture (Azure) | R | A | I | C | I | C | I |
Security & Compliance Alignment (TOGAF + SABSA) | C | C | I | R | A | C | I |
Identity Governance (Azure AD + SailPoint) | C | I | I | R | A | I | I |
KYC/CDD/EDD (Fenergo Integration) | C | I | I | C | C | C | R |
AML & Financial Crime (Actimize Integration) | C | I | I | C | C | C | R |
Credit Bureau & Fraud Scoring Integration | C | I | I | C | I | C | R |
Core Banking Integration (Finacle / TCS BaNCS) | C | I | I | I | I | C | R |
Regulatory Reporting (FIU-IND, RBI) | C | I | I | C | R/A | C | I |
DevOps & DevSecOps Enablement | C | I | I | C | I | R | I |
Threat Modeling (STRIDE) | C | I | I | R | C | C | I |
Risk Register & Mitigation Governance | R | A | I | C | C | I | I |
Business–IT Alignment (KPIs & Reviews) | R | A | C | C | C | I | I |
Partner/Vendor Orchestration | R | A | I | I | I | I | C |
Legend:
R (Responsible) – Does the work
A (Accountable) – Final authority, owns the outcome
C (Consulted) – Provides input, expertise
I (Informed) – Kept in loop
12. Top 50 Enterprise Risks (Excel-Style Table)
Risk ID | Risk Name | Category | Owner | Mitigation Plan |
R1 | KYC Data Mismatch | Business | Compliance Head | Auto-validation rules + Manual review |
R2 | False Positive in AML | Business | AML Ops Lead | Secondary screening + escalation workflow |
R3 | API Failure with Fenergo | Integration | EA Lead | Retry logic + Circuit breaker |
R4 | Actimize ETL Delay | Integration | Data Ops | Parallel batch processing |
R5 | Credit Score API Timeout | Technology | Risk IT | Fallback to alternate bureau |
R6 | Fraud Score Misclassification | Application | Fraud Ops | ML retraining + Explainability checks |
R7 | SFTP File Corruption | Data | Data Ops | Checksum + Auto re-upload |
R8 | FIU-IND Report Rejection | Compliance | Compliance Head | Pre-validation against schema |
R9 | Regulatory Non-Compliance | Governance | CRO | Continuous compliance audits |
R10 | Azure AD Outage | Technology | IAM Lead | Secondary IdP fallback |
R11 | SailPoint Sync Failure | Integration | IAM Ops | Scheduled reconciliation jobs |
R12 | Unauthorized Access | Security | CISO | MFA, RBAC, Zero Trust |
R13 | Data Breach | Security | CISO | DLP, encryption, SIEM |
R14 | GenAI Hallucination | AI | CIO | RAG, human-in-loop validation |
R15 | Legacy Migration Delay | Process | Modernization Lead | Automated code conversion tools |
R16 | DevOps Pipeline Failure | Technology | DevOps Lead | Self-healing pipelines |
R17 | Container Vulnerability | Security | CISO | Image scanning (Trivy) |
R18 | CBS Integration Failure | Integration | Core Banking Lead | Failover + Retry |
R19 | Loan Agreement E-Sign Failure | Application | Legal Ops | Alternate signing provider |
R20 | Builder Fraud | Business | Credit Ops | Builder due diligence process |
R21 | Duplicate Loan Application | Process | Lending Ops | Deduplication logic |
R22 | Customer Data Privacy Violation | Compliance | DPO | GDPR/DPDP compliance |
R23 | Oracle Form Migration Failure | Modernization | App Modernization Lead | Incremental rollout |
R24 | PL/SQL Conversion Error | Application | DBA Lead | Automated regression testing |
R25 | Incorrect Fraud Flag | Business | Fraud Ops | Dual scoring validation |
R26 | Report Submission Delay | Compliance | Compliance Ops | SLA monitoring |
R27 | Capacity Overload on AKS | Technology | Cloud Ops | Auto-scaling enabled |
R28 | Network Latency with Partners | Integration | Network Lead | VPN optimization |
R29 | Key Vault Access Denied | Security | IAM Lead | Rotation policy + Monitoring |
R30 | Missing Audit Logs | Governance | Audit Head | Immutable WORM storage |
R31 | Unauthorized API Calls | Security | CISO | API Gateway + WAF |
R32 | Customer Drop-off in Onboarding | Business | CX Head | Assisted journey via chatbot |
R33 | Loan Default | Business | Risk Head | Early warning systems |
R34 | GenAI Data Leakage | Security | CISO | Prompt filtering + sandbox |
R35 | Cloud Vendor Lock-in | Technology | EA Lead | Cloud-agnostic design |
R36 | Poor DevSecOps Adoption | Process | DevOps Lead | Mandatory security gates |
R37 | Incorrect Credit Report | Partner | Risk Ops | Cross-check with multiple bureaus |
R38 | AML Model Drift | AI | Data Science Head | Continuous model retraining |
R39 | Inconsistent Data Model | Data | Data Architect | Master data governance |
R40 | Insider Threat | Security | HR + CISO | UEBA + HR policies |
R41 | Partner SLA Breach (Fenergo) | Partner | Vendor Mgmt | SLA monitoring + penalties |
R42 | Partner SLA Breach (Actimize) | Partner | Vendor Mgmt | Alternate risk scoring |
R43 | Incomplete Customer Consent | Compliance | Legal Ops | Consent management system |
R44 | Inaccurate Builder Info | Business | Credit Ops | Builder KYC verification |
R45 | Batch Job Failure (Proc*C) | Legacy | IT Ops | Migration to Spring Batch |
R46 | Orphaned Access Rights | Security | IAM Lead | SailPoint recertifications |
R47 | Slow Loan Disbursement | Process | Ops Head | Workflow automation |
R48 | Change Management Failure | Governance | CIO | CAB process |
R49 | Inadequate Training on New Systems | People | HR | Training programs |
R50 | Stakeholder Misalignment | Process | EA Lead | RACI governance model |
13 Enterprise Architecture Governance Operating Model
🔹 Architecture Review Board (ARB)
Purpose: Ensure all digital lending and modernization initiatives align with enterprise strategy, standards, and compliance.
Membership:
Chair: Chief Enterprise Architect
Permanent Members: Domain Architects (Security, Data, Application, Infra), Compliance Officer, CISO rep.
Advisory Members: Business Product Owners, Delivery Managers, Vendor SMEs (Fenergo, Actimize, Infosys Finacle, TCS BaNCS).
Cadence: Bi-weekly reviews + emergency ad-hoc reviews for regulatory changes.
Scope:
Review architecture blueprints, solution designs, migration waves.
Approve/reject deviations from standards.
Track enterprise KPIs and risks.
🔹 Governance Processes
Architecture Compliance Reviews (ACR)
Each project passes through checkpoints (Inception → Design → Build → Deploy).
Checklist-driven (standards, security, data, integration).
Non-compliance = remediation plan logged.
Standards & Patterns Management
Patterns published in a central Architecture Repository (Confluence/SharePoint).
Updates every quarter with ARB approval.
Mandatory use in all new projects.
Risk & KPI Tracking
Top 50 risks tracked in Enterprise Risk Register (Excel/ServiceNow).
KPIs reviewed monthly in ARB → escalations to CIO/CDO if deviations >10%.
Exception Management
Projects can raise “Architecture Exception Requests” (AER).
EA team assesses impact, grants time-bound waivers, tracks for closure.
🔹 RACI for EA Governance
Activity | Responsible | Accountable | Consulted | Informed |
Define EA Principles & Standards | Enterprise Architect | CIO | Security, Data, Business Heads | All IT Teams |
Solution Architecture Review | Domain Architects | Chief EA | Business Owner, Vendor Partners | Delivery Teams |
Security & Compliance Validation | Security Architect | CISO | Risk & Compliance, EA | CIO, Project Sponsors |
Technology Selection (Tools/Vendors) | EA + CTO Office | CTO | Procurement, Partners | Finance, Delivery Teams |
Risk Register & Mitigation Tracking | EA Office | CIO | Risk, Compliance, PMO | Steering Committee |
KPI Tracking & Reporting | EA Office | CIO/CDO | Business & Operations | Board & Regulators (as req) |
🔹 Collaboration & Communication
Collaboration Tools: Jira + Confluence for backlog, Azure DevOps for CI/CD pipelines, ServiceNow for risk/governance.
Stakeholder Forums:
Monthly Steering Committee: CIO, CDO, CRO, Business Heads → review strategy alignment.
Quarterly Vendor Summit: Infosys (Finacle), TCS (BaNCS), Fenergo, Actimize → roadmap sync.
Weekly Architecture Standup: Architects + Delivery Managers → unblock tactical design issues.
🔹 Governance KPIs
% of projects passing ARB review on first attempt (>85%).
% of patterns reused across projects (>70%).
% of open AERs older than 90 days (<5).
Compliance audit pass rate (100% for RBI/SEBI).
EA repository updates delivered every quarter.
Identity Governance & Security Governance
🔹 Identity Governance with SailPoint
Objective: Ensure consistent, auditable, and compliant user access management across digital lending, Finacle/BaNCS, and partner systems (Fenergo, Actimize, etc.).
Approach:
Centralized Identity Store
Azure AD = primary identity provider (authentication + MFA).
SailPoint = governs identity lifecycle, access certifications, toxic combos.
Joiner–Mover–Leaver (JML) Process
Automated provisioning/de-provisioning through SailPoint connectors to:
Core Banking (Finacle/TCS BaNCS)
Lending Microservices
Partner platforms (Fenergo, Actimize)
Zero manual provisioning = reduced insider threat risk.
Access Reviews & Recertification
Quarterly campaigns automated in SailPoint.
Critical roles (Loan Approver, AML Reviewer) require manager + compliance dual approval.
Segregation of Duties (SoD)
Toxic combinations (e.g., Loan Creator + Loan Approver) flagged by SailPoint.
Automated remediation workflow.
Audit & Compliance Integration
Full logs available for RBI/SEBI audits.
Identity dashboards → real-time access risk posture.
🔹 Security Governance
Objective: Establish a robust end-to-end security framework aligned with SABSA (security architecture) and NIST CSF.
Layers & Controls:
Network Security
Azure Firewall, NSG, WAF in front of APIs.
Segmentation of zones (DMZ, App, Data, Management).
Application Security
DevSecOps integrated (SAST, DAST, container scans in CI/CD).
Secure coding standards (OWASP Top 10).
API Gateway with OAuth2 + JWT tokens.
Data Security
Encryption: AES-256 at rest, TLS 1.3 in transit.
Azure Purview for lineage & classification.
Tokenization of PAN/Aadhaar before leaving CBS.
Identity & Access Security
Azure AD Conditional Access (risk-based).
SailPoint access governance.
Just-In-Time (JIT) privileged access via Azure PIM.
Threat Detection & Response
SIEM: Azure Sentinel + Actimize alerts for AML/Fraud.
SOAR playbooks for automated response (lock account, block IP).
24x7 SOC monitoring.
Governance & Compliance
Frameworks applied: TOGAF (EA) + SABSA (Security) + NIST CSF.
Continuous compliance monitoring with Azure Policy + Defender for Cloud.
RBI, SEBI, FATCA/OFAC regulatory mappings baked into controls.
🔹 Security Governance Operating Model
Security Review Board (SRB) — parallel to ARB, chaired by CISO.
RACI Matrix:
CISO: Accountable for enterprise security posture.
Security Architect (EA team): Responsible for embedding controls in designs.
Delivery Leads: Consulted for implementation feasibility.
All Teams: Informed about new policies.
Cadence:
Weekly threat review calls.
Monthly joint ARB+SRB sync.
Quarterly board-level risk posture presentation.
🔹 Security KPIs
% privileged accounts managed via SailPoint + PIM (target 100%).
% toxic combos remediated (target <1% outstanding).
Mean Time to Detect (MTTD) → <30 mins.
Mean Time to Respond (MTTR) → <2 hrs.
0 critical open vulnerabilities in production.
100% regulatory compliance with RBI/SEBI audits.
Security in the Lending Journey
Journey Step | Security Controls | Notes |
Application Submission | TLS/mTLS, input validation, bot prevention | GenAI chat secured via OAuth2 |
KYC/CDD/EDD | Identity governance, encrypted data in transit | Fenergo + SailPoint + Azure AD |
Credit Score & Fraud Check | API access control, encryption, anomaly detection | CIBIL/Experian integration secured with API tokens |
AML Screening | Event-driven monitoring, immutable audit logs | Actimize + ETL + FIU-IND |
Loan Evaluation & Approval | Role-based access, policy checks | Microservices enforce SOD and approval policies |
Loan Disbursement | Encrypted transactions, MFA approvals | Integration with Finacle / BaNCS |
Post-Loan Monitoring | Event monitoring, anomaly detection | Prometheus/Grafana, ELK, AI alerts |
Security KPIs Tracked
IAM Policy Compliance: 100% automated enforcement
Security Vulnerabilities Fixed SLA: 95% pre-prod
Audit Trail Coverage: 100% of sensitive events
Penetration Test Pass Rate: 100%
Encryption Coverage: 100% sensitive data
Incident Response MTTR: <1 hour
14. Threat Modeling (Security by Design)
Framework: STRIDE + OWASP Top 10 integrated in design reviews.
Examples:
Spoofing: Fake loan applications → Mitigation: Aadhaar OTP, PAN API validation, Fenergo KYC.
Tampering: Loan data manipulation → Mitigation: Hashing, immutability with blockchain ledger (future roadmap).
Repudiation: User denies transaction → Mitigation: Non-repudiation via digital signature (eSign, Aadhaar).
Information Disclosure: PII leaks → Mitigation: Data masking, tokenization, field-level encryption.
Denial of Service: Loan portal downtime → Mitigation: Azure Front Door + CDN + DDoS Protection.
Elevation of Privilege: Unauthorized access → Mitigation: RBAC + PAM (Privileged Access Management).
15. End-to-End Lending Journey (with integrations & security at each hop)
1. Onboarding & Authentication
Amit logs into the portal → authenticated via Azure AD.
SailPoint governs access (role → permission mapping).
Security: OAuth2, MFA, TLS 1.3 encryption.
2. KYC / CDD / EDD
KYC initiated → Fenergo API integration for onboarding, AML/CDD/EDD.
RBI reporting compliance → reports generated automatically.
Security: API Management + WAF + Key Vault for secrets.
3. Credit & Fraud Checks
CIBIL/Experian → Credit score fetch.
Experian Hunter → Fraud score assessment.
Actimize Crime → AML + financial crime risk engine.
Security: Zero-trust access policies, data masking for PII.
4. Loan Evaluation & Approval
Business rules engine validates loan eligibility.
Maker-checker workflow governed by SailPoint policies.
Automated → STP; else routed for manual review.
5. Builder Collaboration (Prestige Group)
Property verification & document upload via Builder Portal microservice.
Access governed by RBAC from SailPoint.
Audit trail logs in central governance layer.
6. Risk & Compliance
Batch Jobs: ABC Bank → SFTP staging → Actimize ingestion layer → ETL pipeline.
ETL generates CTR, STR, NTR, CBWR compliance reports.
Reports pushed to FIU-IND portal.
Security: File checksum, hash-based verification, restricted SFTP access.
7. Loan Disbursement
Payment released to Prestige Group escrow account.
Secured integration with Core Banking → escrow mgmt.
AML & fraud checks validated again before release.
8. Post-Loan Advisory
GenAI-enabled Banking Advisor provides FAQ, repayment options, cross-sell.
Integrated with knowledge base, embeddings, and AML alerts to improve customer engagement.
16. Role of Enterprise Architect
As the Enterprise Architect, I:
Defined vision, roadmap, and modernization strategy.
Built capability maps and mapped them to services/applications.
Designed target cloud-native architecture (Azure).
Drove security & compliance alignment with TOGAF + SABSA.
Defined standards, patterns, KPIs, and principles.
Guided DevOps, DevSecOps, AI/ML adoption.
Orchestrated partners/vendors (Finacle, TCS BaNCS, Fenergo, Actimize).
Managed risk register and ensured mitigation plans.
Enabled business-IT alignment with measurable KPIs.
IT Strategy Development → Defined long-term digital lending roadmap.
Business-IT Alignment → Balanced Amit (customer), Prestige (builder), ABC Bank, and regulators.
Architecture Design → Mapped capabilities → services → applications.
Technology Evaluation → Selected right tools (SailPoint, Fenergo, Actimize, Experian, GenAI).
Governance & Compliance → Built governance + RACI + risk mitigation.
Stakeholder Collaboration → Worked across business, IT, vendors, and regulators.
17. Operational, Resilient, and Compliance Architecture
17.1 Operational Architecture
Goal: Ensure smooth day-to-day operations, observability, and service reliability across all digital lending services.
Key Components:
Monitoring & Observability:
Centralized dashboards for microservices, API gateways, Kafka streams, and DB metrics
Tools: Prometheus, Grafana, ELK stack, Azure Monitor
Metrics tracked: TPS, latency, error rates, SLA adherence, system health
Operational KPIs:
Incident MTTR: < 1 hour
SLA adherence: 99.99% uptime
Queue processing lag: < 2 minutes
Batch job success rate: 100%
Automation & Orchestration:
Automated scaling via AKS / Azure Autoscale
Self-healing workflows using Kubernetes probes and retries
DevOps pipelines integrating CI/CD with automated tests, SAST/DAST scans
EA Role: Defined operational patterns, KPIs, monitoring architecture, and automated remediation playbooks.
17.2 Resilient Architecture
Goal: Ensure high availability, fault tolerance, and disaster recovery for all lending services.
Key Patterns & Strategies:
Active-Active Deployment:
Multi-region deployment across Azure regions
Traffic Manager and Front Door for load balancing and failover
Event-Driven Microservices:
Kafka for async communication with idempotency and correlation IDs
Outbox pattern to prevent message loss during failures
Disaster Recovery (DR):
Backup and restore policies for databases (Azure SQL, Cosmos DB)
Cross-region replication and automated failover
Periodic DR drills and chaos experiments
Resilience Patterns:
Circuit breakers, retries, bulkheads
Timeouts and backpressure in microservices
Database sharding and caching strategies
EA Role: Designed end-to-end resilient architecture patterns, defined DR strategy, and established operational readiness checks.
17.3 Compliance Architecture
Goal: Ensure all digital lending processes meet regulatory, audit, and industry standards (RBI, SEBI, PCI DSS, SOC2, ISO27001, GDPR).
Key Components:
Data Compliance:
PII encryption, tokenization, and masking
Immutable audit trails for all financial transactions
RegTech Integrations:
Fenergo for KYC/CDD/EDD
Actimize Crime for AML and fraud scoring
FIU-IND reporting, CTR/STR/NTR/CBWR
Policy Enforcement:
IAM & IGA (SailPoint) for access certification and segregation of duties
Policy-as-Code integrated into DevSecOps pipelines
Audit & Reporting:
Automated compliance reports generated for regulators
Continuous monitoring of access violations, transaction anomalies, and policy breaches
EA Role: Defined compliance architecture, ensured policy enforcement via tooling, mapped regulatory requirements to application services, and embedded audit readiness into workflows.
17.4 Chaos Engineering Principles
Goal: Proactively validate system resilience and operational readiness under failure scenarios.
Principles Applied:
Hypothesize Steady State: Define expected performance metrics (latency, throughput, error rates).
Introduce Controlled Failure: Simulate node failure, service crash, network latency, or DB outage in dev/staging environments.
Observe System Behavior: Monitor alerts, retries, failover behavior, SLA adherence.
Automate Experiments: Integrate chaos tests into CI/CD pipelines for continuous validation.
Learn & Improve: Update resilience patterns, scaling policies, and DR procedures based on outcomes.
Tools & Techniques:
Kubernetes pod disruption budgets, chaos mesh, Gremlin
Load injection and network partition testing
EA Role: Defined chaos engineering strategy, validated resilience, and ensured operational excellence across microservices and event-driven flows.
17.5 KPIs Across Operational, Resilient, and Compliance Layers
Architecture Layer | KPI | Target / Measurement |
Operational | MTTR | <1 hour |
Operational | Batch Job Success Rate | 100% |
Operational | SLA Compliance | 99.99% uptime |
Resilient | Failover Recovery Time | <5 mins |
Resilient | Incident Impact Reduction | 90% service unaffected |
Resilient | Disaster Recovery Drill Success | 100% |
Compliance | Policy Enforcement | 100% automated |
Compliance | Audit Trail Coverage | 100% of sensitive events |
Compliance | Regulatory Reporting Accuracy | 100% CTR/STR/NTR/CBWR compliance |
Compliance | IAM Access Certification | 100% completed |
18. Security Architecture
Security Architecture Vision
Goal: Protect customer data, ensure regulatory compliance, secure digital lending operations, and enable secure AI adoption.
Frameworks: TOGAF (architecture governance), SABSA (security architecture), Zero Trust, ISO 27001, SOC 2, PCI DSS, RBI, SEBI, GDPR.
Principles:
Secure-by-Design: Embed security in every layer
Compliance-by-Design: Ensure audit readiness
Least-Privilege Access: Only authorized roles have access
Defense-in-Depth: Multi-layered controls
Threat-Model Driven: Identify, mitigate, and monitor risks
16.2 Security Architecture Layers
Layer | Security Measures | Tools / Implementation |
Identity & Access | RBAC, Segregation of Duties, MFA, SSO, Federated Identity | SailPoint Identity Governance (IGA), Azure AD, Okta, OAuth2/JWT |
Application Security | Secure coding standards, SAST/DAST scanning, API security, Input validation | SonarQube, Snyk, Trivy, Fortify, API Gateway policy enforcement |
Data Security | Encryption at rest & in transit, tokenization, PII masking, database access controls | Azure Key Vault, Transparent Data Encryption, TLS/mTLS, Vault |
Network Security | Micro-segmentation, firewalls, VPN, NSG, API Gateway, WAF, DDoS protection | Azure Firewall, Application Gateway, Front Door, VNet, Network Security Groups |
Event & Fraud Monitoring | Real-time anomaly detection, fraud scoring, AML transaction monitoring | Actimize, Experian Hunter, Kafka event streams, Prometheus/Grafana alerts |
AI/GenAI Security | Explainable AI, data privacy for ML models, secure AI inference | LangChain + OpenAI, Guardrails AI, SHAP/LIME for transparency |
DevSecOps | CI/CD pipeline security, IaC scanning, automated policy enforcement | Azure DevOps, GitHub Actions, Terraform/Bicep, Jenkins, policy-as-code |
16.3 Identity Governance & Access Control
SailPoint IGA manages:
Automated provisioning & de-provisioning
Access certification & approvals
Segregation of duties enforcement
Azure AD provides:
SSO for multi-tenant SaaS platforms
Conditional Access Policies
MFA for sensitive operations
RACI Example:
Activity | EA | Security | Compliance | Business | Vendor |
IAM Policy Definition | R | A | C | I | C |
Access Review & Certification | A | R | C | I | I |
Provisioning/De-provisioning Automation | R | C | I | I | A |
16.4 Threat Modeling
Applied STRIDE and PASTA frameworks to all microservices and integrations:
Spoofing: OAuth2/JWT, MFA, SSO enforcement
Tampering: Encrypted data, API signatures, database integrity checks
Repudiation: Immutable audit logs, event correlation IDs
Information Disclosure: Data encryption, tokenization, masking
Denial of Service: Rate limiting, autoscaling, WAF, DDoS protection
Elevation of Privilege: RBAC, least-privilege access, IGA enforcement
Threat Modeling Workflow:
Identify assets and sensitive data (PII, financial data)
Identify threat actors (internal, external, vendor)
Map threats to microservices, APIs, and data flows
Define mitigations and integrate into DevSecOps pipeline
Continuous monitoring and update threat models during every release
16.5 Security in the Lending Journey
Journey Step | Security Controls | Notes |
Application Submission | TLS/mTLS, input validation, bot prevention | GenAI chat secured via OAuth2 |
KYC/CDD/EDD | Identity governance, encrypted data in transit | Fenergo + SailPoint + Azure AD |
Credit Score & Fraud Check | API access control, encryption, anomaly detection | CIBIL/Experian integration secured with API tokens |
AML Screening | Event-driven monitoring, immutable audit logs | Actimize + ETL + FIU-IND |
Loan Evaluation & Approval | Role-based access, policy checks | Microservices enforce SOD and approval policies |
Loan Disbursement | Encrypted transactions, MFA approvals | Integration with Finacle / BaNCS |
Post-Loan Monitoring | Event monitoring, anomaly detection | Prometheus/Grafana, ELK, AI alerts |
16.6 Security KPIs Tracked
IAM Policy Compliance: 100% automated enforcement
Security Vulnerabilities Fixed SLA: 95% pre-prod
Audit Trail Coverage: 100% of sensitive events
Penetration Test Pass Rate: 100%
Encryption Coverage: 100% sensitive data
Incident Response MTTR: <1 hour
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