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Digital Lending Enterprise Architecture Case Study-EA Blueprint

  • Writer: Anand Nerurkar
    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

  1. EJB → Spring Boot Microservices

    • Use automated code migration tools (e.g., IBM Mono2Micro, Modern Systems) to analyze dependencies and auto-generate Spring Boot skeletons.

  2. PL/SQL Stored Procedures → Microservices

    • Extract business logic, refactor into Java microservices with JPA/Hibernate.

    • Wrap remaining DB logic as REST APIs.

  3. Proc*C Batch Jobs → Spring Batch

    • Modernize to Spring Batch/Quartz jobs for loan settlement, compliance file processing.

    • Containerize in AKS for scalability.

  4. 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

  1. 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 

  1. Cloud-First, API-First – all new services are cloud-native and API-enabled.

  2. Security by Design – every microservice follows “least privilege” and is scanned in CI/CD pipelines.

  3. Compliance-Driven – regulatory obligations (SEBI, RBI, FATCA, OFAC, GDPR) embedded into architecture.

  4. Reuse over Build – prefer reusing enterprise services (KYC, Credit Scoring, AML) before building anew.

  5. Event-Driven & Real-Time – Kafka backbone for streaming data (fraud alerts, credit checks).

  6. Data is an Asset – single source of truth (golden customer record), data lineage, audit trails.

  7. Observability & Transparency – monitoring, logging, tracing integrated into every layer.

  8. Vendor-Agnostic – core services remain portable across Azure/AWS/GCP where possible.

  9. Automation First – IaC, automated regression, auto ML retraining pipelines.

  10. 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

  1. Architecture Compliance Reviews (ACR)

    • Each project passes through checkpoints (Inception → Design → Build → Deploy).

    • Checklist-driven (standards, security, data, integration).

    • Non-compliance = remediation plan logged.

  2. Standards & Patterns Management

    • Patterns published in a central Architecture Repository (Confluence/SharePoint).

    • Updates every quarter with ARB approval.

    • Mandatory use in all new projects.

  3. 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%.

  4. 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:

  1. Centralized Identity Store

    • Azure AD = primary identity provider (authentication + MFA).

    • SailPoint = governs identity lifecycle, access certifications, toxic combos.

  2. 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.

  3. Access Reviews & Recertification

    • Quarterly campaigns automated in SailPoint.

    • Critical roles (Loan Approver, AML Reviewer) require manager + compliance dual approval.

  4. Segregation of Duties (SoD)

    • Toxic combinations (e.g., Loan Creator + Loan Approver) flagged by SailPoint.

    • Automated remediation workflow.

  5. 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:

  1. Network Security

    • Azure Firewall, NSG, WAF in front of APIs.

    • Segmentation of zones (DMZ, App, Data, Management).

  2. Application Security

    • DevSecOps integrated (SAST, DAST, container scans in CI/CD).

    • Secure coding standards (OWASP Top 10).

    • API Gateway with OAuth2 + JWT tokens.

  3. Data Security

    • Encryption: AES-256 at rest, TLS 1.3 in transit.

    • Azure Purview for lineage & classification.

    • Tokenization of PAN/Aadhaar before leaving CBS.

  4. Identity & Access Security

    • Azure AD Conditional Access (risk-based).

    • SailPoint access governance.

    • Just-In-Time (JIT) privileged access via Azure PIM.

  5. Threat Detection & Response

    • SIEM: Azure Sentinel + Actimize alerts for AML/Fraud.

    • SOAR playbooks for automated response (lock account, block IP).

    • 24x7 SOC monitoring.

  6. 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:

  1. Hypothesize Steady State: Define expected performance metrics (latency, throughput, error rates).

  2. Introduce Controlled Failure: Simulate node failure, service crash, network latency, or DB outage in dev/staging environments.

  3. Observe System Behavior: Monitor alerts, retries, failover behavior, SLA adherence.

  4. Automate Experiments: Integrate chaos tests into CI/CD pipelines for continuous validation.

  5. 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:

    1. Identify assets and sensitive data (PII, financial data)

    2. Identify threat actors (internal, external, vendor)

    3. Map threats to microservices, APIs, and data flows

    4. Define mitigations and integrate into DevSecOps pipeline

    5. 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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