Strengthening Fraud Controls While Preserving Customer Confidence
How proportionate interventions, timely review and accountable resolution can strengthen fraud protection and keep legitimate banking journeys usable.
Perspectives · Fraud vs Controls
Confidence grows when protection has a clear path
A customer making an unfamiliar payment and a fraudster attempting an account takeover can produce some of the same signals: a new device, a new beneficiary, an unusual amount or a change in location. Strong controls help the bank recognise these signals. Customer confidence depends on what the bank does with them.
A useful intervention protects money, explains the next step and gives uncertainty an accountable route to resolution. Its quality cannot be judged only by the number of transactions stopped. We also need to understand what happened to genuine customers, which frauds were missed, and whether the response arrived while it could still help.
Our central question is how banks can strengthen fraud protection while keeping legitimate banking journeys understandable and usable.
Start with the failure being prevented
Different fraud mechanisms need different responses. In an account takeover, an unauthorised person controls the payment journey. Stronger authentication, session controls and a trusted recovery route can help. In a deception-led scam, the genuine customer may authenticate successfully while acting on a misleading story. Repeating the same authentication step can confirm possession without examining the reason for the transfer.
RBI’s 2025 authentication directions require at least two distinct authentication factors for covered domestic digital payments, subject to exemptions, and permit additional checks using behavioural and contextual risk. The general compliance date was 1 April 2026. Risk-based intervention supplements the applicable minimum; it is not permission to remove required authentication. [1]
That distinction supports a more purposeful design. Ask whether the concern is identity, control of the session, the beneficiary, the customer’s understanding, or a combination. An additional one-time password may address one concern while adding little protection against another.
A score becomes useful through an intervention
A fraud score estimates risk under particular assumptions. A bank must still decide what action is justified, how quickly it must happen, and what evidence would change that action. The same score need not lead to the same treatment when the consequences and available controls differ.
Consider a fictional customer paying a new supplier from a familiar device. There is no confirmed adverse evidence, but the amount is unusual. A transaction-specific confirmation and a supported review route may be appropriate under the bank’s approved policy. Now add credible evidence of compromised credentials or a legally required restriction. The response must become more protective. Convenience does not override a mandatory control.
The design opportunity is to use the narrowest effective intervention permitted by law and policy. A warning, an additional check, a temporary transaction pause and an account-wide restriction have different reach. Each needs a reason, an owner, a review trigger and a controlled exit. These are editorial design proposals, not a prescribed RBI intervention ladder.
Make the confirmation answer a useful question
A generic “Are you sure?” prompt asks the customer to repeat a decision they already made. A context-specific explanation can help them reconsider the underlying story without exposing detection thresholds or sensitive intelligence.
For example, a customer expecting a refund benefits from a clear distinction between receiving money and authorising a payment. NPCI’s fraud-awareness guidance explains that scanning a QR code and entering a UPI PIN is used to make a payment, rather than to receive money. [2]
Confirmation should remain usable for customers who need language support or assistance. An accessible route must preserve required verification and resist coaching by an attacker. A customer clicking “continue” is evidence of interaction; its meaning depends on what was explained and whether the session remains trustworthy.
The denominator changes the conversation
Accuracy can look reassuring when fraud is uncommon. An illustrative calculation makes the trade-off visible. Suppose a fictional bank processes 100,000 payments, of which 100 are fraudulent. A control identifies 80 of those frauds and also flags 1% of the 99,900 genuine payments: 999 false positives. There are 1,079 alerts, of which about 7.4% concern fraud; 20 fraudulent payments are missed.
The arithmetic is hypothetical, not a claim about a bank, model or payment system. It illustrates why “80% detected” and “1% false positives” must be read together. Alert precision measures the fraction of alerts that prove fraudulent; recall measures the fraction of frauds detected. Neither alone tells us the monetary loss, the customer impact or the time available to intervene.
Transaction counts and values also matter separately. A control that detects many small frauds may leave a different exposure from one that detects fewer high-value cases. Segmented evaluation should examine channels, fraud mechanisms and customer contexts without treating a group’s membership as proof of risk.
Review capacity is part of control design
Detection creates work. If a rule produces more alerts than the team can resolve, a technically fast signal can become an operationally late response. A queue is not additional protection unless it is worked within the relevant decision window.
Assume, purely for illustration, that 900 actionable cases arrive per day and a review team can sustainably resolve 600 at the required quality. The unresolved queue grows by 300 each day before rework and absence. Raising sensitivity further may increase detection, but can also delay intervention on the cases that matter most.
The answer is not to suppress alerts simply to fit staffing. It is to evaluate control changes together with routing, automation that safely resolves routine evidence, specialist capacity and escalation. Priority should consider credible evidence, potential loss and remaining intervention time, while preserving applicable reporting and investigation obligations. Track ageing by risk and outcome; an average queue time can conceal the urgent cases.
Design the return to normal banking
Temporary restrictions need explicit release criteria. When sufficient evidence supports a genuine payment, an authorised reviewer should be able to resolve the case through a recorded process. Support staff need an appropriate explanation of the restriction, its owner and the next permitted step.
Customer communication can be informative without disclosing detection rules or protected investigation information. Explain that a security review is under way, provide a case reference and a realistic update route, and avoid requesting credentials through an unsolicited message. A customer should be able to reach the bank through a channel they independently trust.
State handling matters too. If a payment is pending or its outcome is uncertain, clearing a fraud concern does not by itself establish whether the payment executed. Link the fraud case to the payment record, check authoritative outcome evidence, and prevent an assisted retry from creating a duplicate. Releasing a restriction and resolving a transaction are related but distinct actions.
Learn from outcomes without teaching the wrong lesson
Fraud labels arrive late and can be incomplete. A blocked payment may never establish what would have happened; an approved payment without a complaint is not necessarily confirmed genuine. Customers who abandon a review disappear from the completed-payment denominator unless the bank records them.
Keep confirmed fraud, verified legitimate activity and unresolved cases distinct. Record the evidence and time at which a case changed status. Evaluate rule and model versions against comparable periods and segments. A decline in observed losses may reflect less activity, a different fraud mix or delayed reporting; it needs investigation before being attributed to a control.
Overrides deserve their own review. Repeated release of one rule’s alerts may indicate poor calibration, incomplete data or an emerging pattern. Treat the review as evidence for improvement, while maintaining separation of duties and checking that an attacker cannot turn customer support into a weaker payment path.
A more useful leadership scorecard
Review outcomes together: confirmed fraud losses and recoveries; detection coverage by mechanism; alert precision; time to effective intervention; unresolved-case ageing; time to restore genuine-customer access; review abandonment; repeat complaints; and the quality of override evidence. Estimates of prevented loss should disclose their assumptions and uncertainty.
RBI’s February 2026 workshop on digital and cyber fraud emphasised governance, internal controls, processes, technology, stakeholder coordination and focused customer awareness. It is a useful reminder that prevention is an institutional capability. The workshop statement is supervisory context, not a new numerical performance standard. [3]
A practical starting point is to select one customer journey, map the threat and intervention choices, name the resolution owner, establish a review capacity budget, and compare outcomes before expanding. Test both a credible fraud attempt and a genuine customer who encounters the same signal.
Our perspective: make protection and resolution one capability
Fraud controls earn confidence when customers can see that the bank is protecting them and can understand how a legitimate concern will be resolved. Strong detection remains essential. Its value grows when it connects to timely action, meaningful confirmation, dependable operations and a governed return to normal service.
Design the route to resolution alongside the intervention. Measure the fraud prevented and the legitimate banking restored.
This gives banks a constructive improvement agenda: maintain required safeguards, make interventions proportionate to credible evidence, equip reviewers to act in time, and use both fraud and customer outcomes to improve the next decision.
Sources & further reading
- RBI — Authentication mechanisms for digital payment transactions Directions, 2025 — paragraphs 3, 6 and 8; scope and exemptions remain important.
- NPCI — Fraud Awareness — customer guidance on payment deception.
- RBI — Workshop on Digital / Cyber Frauds, 26 February 2026 — governance and coordination context.
Reviewed on 7 October 2026. Examples and calculations are fictional. Intervention designs, metrics and the concluding perspective are our editorial analysis; they do not establish regulatory permissions, liability decisions or guaranteed prevention results.
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Topics: Fraud vs Controls, Perspective