NPCI UPI Security & Risk Framework
NPCI's comprehensive security framework governing UPI transactions, mandating multi-factor authentication, fraud monitoring, dispute resolution mechanisms, and technical standards for PSPs and TPAPs.
The NPCI UPI Security & Risk Framework establishes mandatory security protocols, fraud prevention measures, and risk management practices for all Payment Service Providers (PSPs) and Third Party Application Providers (TPAPs) operating on the Unified Payments Interface. It encompasses technical requirements including device binding, secure PIN management, transaction velocity limits, merchant onboarding due diligence, and real-time fraud detection systems. The framework also defines liability matrices, chargeback timelines, customer grievance redressal mechanisms, and incident reporting obligations. NPCI continuously updates these guidelines to address emerging threats like social engineering frauds, mule accounts, and synthetic identity frauds.
- Standardized security baseline across 350+ UPI apps ensures consistent customer protection regardless of whether they use PhonePe, Google Pay, Paytm, or bank apps
- Mandatory two-factor authentication with device binding and UPI PIN significantly reduces unauthorized transaction risks compared to card-not-present frauds
- Real-time transaction monitoring and velocity limits (per-transaction caps, daily limits) enable early fraud detection and containment before major losses occur
- Clear liability framework and dispute resolution timelines (T+1 auto-reversal for technical failures) protect both customers and merchants from financial losses
- Decentralized architecture with PSP-level fraud controls prevents single-point systemic risks while enabling innovation by multiple players
- Inconsistent fraud detection capabilities across PSPs - leading apps like PhonePe and Google Pay have advanced AI/ML systems while smaller banks struggle with basic rule-based monitoring
- Weak merchant onboarding KYC by aggregators leading to proliferation of fake merchants, shell companies, and mule accounts used for money laundering and cyber fraud proceeds
- Limited real-time information sharing between PSPs on fraudulent UPI IDs, mobile numbers, and device fingerprints enabling fraudsters to hop across platforms
- Customer awareness gaps remain critical - social engineering frauds via fake customer care, QR code frauds, and APK-based scams continue despite technical controls
- Delayed compliance by smaller TPAPs and regional cooperative banks with mandatory security upgrades due to resource and technology constraints
- In 2023, Mumbai Police arrested a gang that created over 15,000 merchant QR codes using fake GST certificates across PhonePe and Paytm, laundering ₹200 crore from cyber fraud victims before PSPs detected the anomalous transaction patterns and blocked the accounts.
- Pune-based victims lost ₹45 lakh in January 2024 when fraudsters impersonating bank officials convinced them to share screen-sharing app access and UPI PINs; despite NPCI guidelines prohibiting PIN sharing, lack of biometric re-authentication enabled multiple high-value debits within minutes.
- Google Pay faced NPCI scrutiny in 2022 when it breached the 30% market share cap repeatedly, raising systemic risk concerns; NPCI issued notices and the extended compliance deadline highlighted enforcement challenges in the competitive UPI ecosystem.
- Implement consortium-based fraud intelligence sharing platform where all PSPs contribute real-time data on suspicious UPI handles, device IDs, and behavioral patterns to create industry-wide blacklists
- Mandate periodic independent security audits (CERT-In empaneled auditors) for all TPAPs and publish compliance scores to drive competitive pressure for stronger security implementations
- Introduce adaptive authentication requiring biometric re-verification or video KYC for transactions above ₹50,000 or to new beneficiaries, reducing social engineering fraud vectors
- Strengthen merchant ecosystem oversight through mandatory GPS verification, business premises photos, and regular transaction pattern analysis to detect shell merchants and money mules early
Updated 6/4/2026 · refreshed weekly