Digital Identity, eKYC, and Fraud Prevention: New Standards in BFSI Cybersecurity

The banking, financial services, and insurance (BFSI) sector is now identity-first. Every transaction, every onboarding, every credit decision starts with one question: “Are you who you say you are?” 

As digital channels explode and fraudsters weaponize AI, deepfakes, and social engineering, traditional KYC and password-based authentication simply don’t hold up anymore. Global losses from online payment fraud are forecast to exceed $360 billion by 2028, while identity verification checks are expected to surpass 70 billion in 2024, with banking accounting for more than half of that volume.  

To keep pace, regulators and financial institutions are redefining how digital identity, eKYC, and fraud prevention work together moving from point solutions to an integrated, risk-based, and AI-augmented security fabric. 

What “Digital Identity” Really Means in BFSI Now   

In simple terms, digital identity is the set of attributes and credentials that prove a customer’s real-world identity in digital channels things like government IDs, biometrics, device fingerprints, geolocation, and behavioral patterns. 

Bodies like the Financial Action Task Force (FATF) have issued detailed guidance on how digital identity systems can be used reliably for Customer Due Diligence (CDD), emphasizing risk-based assurance, reliability, and independence of the digital ID system.  

For BFSI, this translates into: 

• Trusted identity proofing at onboarding (document verification, liveness checks, biometrics). 

• Strong and continuous authentication (multi-factor, device binding, behavioral analytics). 

• Policy- and risk-aware usage of identity signals for fraud, AML, and credit decisions. 

Digital identity is no longer just about logging in it’s the foundation of cybersecurity, compliance, and customer experience.

New Standards Reshaping BFSI Cybersecurity   

Here’s how global regulation and market expectations are redefining the bar. 

Risk-Based Digital Identity & CDD  

New standards emphasize that not all customers and transactions carry the same risk. FATF and the Financial Stability Board promote risk-based use of digital ID for CDD, including:  

• Assurance levels for identity proofing (low/medium/high) 

• Stronger checks for high-risk customers/products (e.g., cross-border remittances, virtual assets) 

• Governance models for identity providers and relying parties 

Strong Customer Authentication (SCA) and Step-Up Controls 

In the EU, PSD2 and its successor framework (PSD3 / Payment Services Regulation) make Strong Customer Authentication (SCA) mandatory for most electronic payments, using at least two independent factors (knowledge/possession/inherence).  

At the same time, regulators recognize the need for risk-based flexibility: 

• Low-risk / low-value transactions may qualify for exemptions 

• High-risk transactions trigger step-up authentication (extra factor, biometric, or confirmation) 

India is following a similar trajectory. RBI’s 2025 digital payment authentication guidelines allow issuers to add risk-based authentication layers on top of existing two-factor authentication, especially for cross-border and high-risk card-not-present transactions.

AI-Augmented eKYC & Fraud Prevention 

Recent industry reports highlight how AI and machine learning are increasingly embedded in identity verification and fraud prevention:  

• Image forensics and deepfake detection in video KYC 

• Behavior-based risk scores (typing cadence, device change, IP intelligence) 

• Real-time pattern detection across channels (card, UPI/real-time payments, P2P wallets) 

• Graph analytics to uncover mule networks and synthetic identity rings 

The expectation is moving from “run a check” to “continuously learn from every interaction”.

How Digital Identity, eKYC, and Fraud Prevention Should Work Together 

Think of a modern BFSI security architecture in three layers:

Layer 1: Identity Proofing & Onboarding (eKYC) 

• Document + biometric verification 

• Video KYC with liveness and deepfake detection (where regulation permits) 

• Database checks (credit bureaus, sanctions lists, watchlists) 

• Risk-based KYC workflows (simplified vs. enhanced due diligence)

Layer 2: Authentication & Session Security 

• Strong multi-factor authentication (passwordless, device-bound, biometrics) 

• Device binding and cryptographic keys (e.g., passkeys, FIDO2) 

• Behavioral analytics for continuous session risk scoring 

Layer 3: Continuous Monitoring & Financial Crime Prevention 

• Real-time transaction monitoring with AI/ML models 

• Network and graph analytics to detect mule networks and synthetic identities 

• Integrated case management for fraud + AML + KYC 

Over all three layers, you need: 

• Policy-driven orchestration (who can do what, under which risk thresholds) 

• Explainability and audit trails (why was this transaction blocked or allowed?) 

• Regulatory alignment by design (FATF, RBI, PSD2/PSD3, GDPR, etc.) 

Implementation Playbook for BFSI Leaders 

For CISOs, CROs, and Heads of Digital/Compliance, here’s a practical roadmap: 

Step 1: Map Your Identity & Fraud Landscape 

• Inventory current KYC/eKYC flows, identity providers, fraud engines, and AML tools 

• Document where identity signals are duplicated, siloed, or missing 

• Identify the highest-risk products and journeys (e.g., instant credit, cross-border payments) 
  

Step 2: Move to Risk-Based Digital Identity 

• Define risk tiers for customers, products, and channels 

• Align onboarding and authentication controls to those tiers 

• Adopt or upgrade to digital ID systems that meet FATF-style assurance expectations 

Step 3: Upgrade Authentication to SCA-Ready, Adaptive Controls 

• Implement or strengthen multi-factor and passwordless options 

• Build a risk engine that can trigger step-up authentication based on transaction context 

• Ensure alignment with local and cross-border regulations (RBI, PSD2/PSD3, etc.) 

Step 4: Integrate KYC, AML, and Fraud

• Create a unified data model for identity, transactions, devices, and alerts 

• Integrate eKYC data feeds into fraud and AML platforms 

• Implement perpetual KYC by linking risk events (fraud alerts, unusual behavior) to profile reviews 

Step 5: Make Governance & Auditability First-Class 

• Define clear policies on data usage, retention, and access 

• Ensure every decision (approve/decline/step-up) is logged with evidence for regulators 

• Regularly test and calibrate AI models for bias, drift, and explainability

How ACI Infotech Builds Identity-First, Fraud-Ready BFSI Platforms   

ACI Infotech works with banks, insurers, and NBFCs to turn digital identity into a strategic control layer not just a compliance requirement. At a high level, the blueprint looks like this: 

Unified Digital Identity & eKYC Fabric 

• Integrate document verification, biometrics, video KYC, and national ID rails (where permitted) into a consistent, policy-driven onboarding stack.  

• Build a customer identity profile that combines: 

• KYC documents and attributes 

• Devices, locations, and channel usage 

• Behavioral patterns (login habits, transaction rhythms) 

Embedded Regulatory Alignment

• Map controls directly to frameworks such as RBI KYC Master Directions, FATF recommendations, and jurisdiction-specific AML rules.  

• Externalize policies and thresholds (for example, when to trigger EDD or video re-verification) so risk and compliance teams can adjust without re-coding. 

AI-Enhanced Fraud and Financial Crime Defense

• Deploy machine learning models for: 

• Transaction anomaly detection 

• Device and behavioral risk scoring 

• Synthetic ID and mule network detection using graph analytics  

• Use explainable features so decisions (blocks, step-ups, approvals) can be defended with regulators and internal audit. 

Cloud-Ready, API-First Architecture

• Implement an API layer that lets digital channels (mobile banking, web, agent portals, partner apps) plug into the same identity and fraud services. 

• Design for real-time performance and resilience across hybrid or multi-cloud setups, with observability baked in. 

Change Management and Skills Uplift

Technology alone won’t fix fraud. ACI Infotech typically pairs platform rollouts with: 

• Playbooks and SOPs for fraud, AML, and operations teams 

• Training on new decision workflows and dashboards 

• Governance structures (risk councils, model review boards, data owners) 

The result is not just a set of tools, but a repeatable operating model for identity-first BFSI cybersecurity. 

Turn Identity into Your Competitive Moat with ACI Infotech