Adaptive Security in Payments: RBI’s Risk-Based Authentication Move

RBI’s new rules allow risk-based authentication beyond two factors. This shift aims to strengthen payment security and adapt to fraud risk dynamically.

The Reserve Bank of India (RBI) has released a final framework for digital payment authentication. Under the new guidelines, issuers may implement risk-based authentication in addition to mandatory two-factor checks. From April 1, 2026, depending on fraud risk, transactions may face extra scrutiny. This change marks a big shift in how India secures digital payments.

By letting banks apply checks based on transaction context (amount, merchant type, user behavior), RBI aims to build more trust and reduce fraud. The approach keeps flexibility and allows innovation in authentication methods while retaining core protections.

What Are the New Guidelines?

RBI’s rules require all digital payment transactions to use two-factor authentication (2FA). But now, issuers can add further checks based on risk. For example, non-recurring, high-value, or cross-border card-not-present transactions may need additional factor when requested.

RBI also allows use of new technologies. Banks and fintechs can adopt biometrics, device-based tokens, or dynamic tokens. SMS-based OTPs remain allowed. Issuers must validate extra authentication for risky transactions.

Guidelines exempt some small-value or recurring payments. This ensures that convenience remains for low-risk cases.

Why RBI Chose This Path

Digital fraud is rising. Attackers keep finding new tricks. A one-size-fits-all security model no longer works well. Risk-based authentication lets systems adapt. More checks when risk is high, fewer when risk is low.

Also, this move encourages innovation. Banks can test new methods of verifying identity—biometrics, device signals, behavioral data—without waiting for future regulation. That flexibility can boost usability and security together.

Moreover, by aligning security to risk, RBI reduces the burden on users. They won’t face heavy friction on small, low-risk transactions. That balance helps maintain adoption and trust in digital payments.

Benefits: What This Change Could Bring

First, stronger fraud prevention. Banks can block risky transactions easily. They can flag unusual patterns and ask for extra proof. That could stop many fraud attempts before they succeed.

Second, better user experience. Low-risk payments stay fast. Users won’t face extra checks on everyday transactions. High-risk cases get more security, so balance improves.

Third, innovation in authentication. Banks may explore biometrics, device profiling, AI models, or token methods. These can replace or augment traditional OTPs. As a result, secure but frictionless systems may become the norm.

Fourth, increased trust. When users see that high-risk payments get extra checks, they feel safer. That perception can boost usage and adoption of digital payments.

Fifth, international alignment. Many global standards already use risk-based controls. RBI’s move helps India align with modern practices.

Challenges and Concerns

This change also brings risks. Banks must build accurate risk models. If the model misjudges, users may face unnecessary checks or false declines. That frustrates users and may reduce trust.

Cost is another issue. Issuers will need new infrastructure: analytics, real-time risk scoring, fraud databases, alerts systems. Smaller banks and fintechs may struggle with these investments.

Regulatory oversight also matters. RBI needs to monitor implementation and ensure fairness. Users must get clarity on when extra checks apply and fair dispute mechanisms.

Also, privacy and data security will be critical. Using behavior, device signals, and biometrics demands strict data control. Misuse or leaks could harm users.

Lastly, fraudsters may adapt. Once they know risk models, they may try to trick systems or target loopholes. The fight must stay dynamic.

How This Might Work in Practice

Imagine a user paying ₹5,000 via UPI. That’s low risk. The transaction just uses 2FA (password + OTP). No extra step.

Now imagine a user paying ₹50,000 to a merchant they’ve never used. The system sees “high risk” flags. It demands an additional check: biometric scan, device token, or facial match. Only after passing it does the payment proceed.

Banks may also use signals: location, transaction history, device age, merchant profile. All these feed a risk score in real time.

In cross-border or card-not-present payments, especially non-recurring ones, the rules already require extra checks when requested. This fits well with risk-based authentication.

Over time, as models improve, more transactions may be auto-approved or auto-flagged, reducing friction and improving security.

What Stakeholders Must Do

Banks and fintech firms must prepare. They should:

  • Build or acquire risk scoring systems

  • Collect user behavior and device data securely

  • Test models thoroughly before rollout

  • Educate users about why some payments get extra checks

  • Provide fallback and dispute resolution methods

Regulators must stay vigilant. They should audit models, ensure fairness, and guard against overreach.

Users should also stay aware. They can update app versions, enable secure settings, and respond to alerts. Understanding why some transactions ask for more proof helps reduce frustration.

Future Outlook

Risk-based authentication may reshape India’s payment security. Gradually, most transactions will route through adaptive checks. The experience may feel seamless for regular use, but tougher for riskier ones.

Over time, data and AI will improve models. Fraud patterns change, and systems evolve. The rules allow innovation—this move gives flexibility to explore next-gen authentication.

Digital payments may become more secure and more usable at the same time. That balance is crucial for India’s push toward a cashless economy.

Conclusion

RBI’s new guideline introducing risk-based authentication marks a turning point in India’s digital payments. The approach lets banks add checks based on transaction risk, ensuring security where needed and convenience where possible. While challenges remain—model accuracy, costs, regulatory oversight—the move opens the path for innovation. If implemented well, it can strengthen trust, reduce fraud, and drive growth in India’s payments ecosystem.