Combating Frauds: Should FIs Go More Digital Or Less Digital?

SUMMARY

According to the RBI Annual Report 2022-23, the number of frauds reported by banks has gone up from 7,263 in 2020-21 to 13,576 in 2022-23

Fraudsters are increasingly using AI-driven methods, such as deep fakes, to commit identity theft and manipulate digital media

This phenomenon highlights the critical necessity for FIs to modify their approaches in response to the ever-changing digital environment

In recent years, the global fraud setting has changed substantially, owing largely to the widespread adoption of digital technologies. This transition has brought in a new era of sophisticated fraud tactics, fueled by the vast amount of data available in the digital ecosystem.

According to the RBI Annual Report 2022-23, the number of frauds reported by banks has gone up from 7,263 in 2020-21 to 13,576 in 2022-23. While traditional identity fraud often involves physical ID counterfeits, fraudsters are increasingly using AI-driven methods, such as deep fakes, to commit identity theft and manipulate digital media.

Considering these challenges, financial institutions (FIs) must make a critical decision if they should adopt a more digital approach or scale back digitalisation efforts to effectively mitigate fraud?

The Evolution Of Digital Fraud – A Complex Dilemma

In alignment with the rapid advancement of technology, cybercriminals have also adopted novel approaches. Deepfakes, AI-generated manipulations of digital media, has emerged as a dangerous instrument in the arsenal of fraudsters.

Through the use of advanced technologies they alter images and videos with such exceptional accuracy that they are capable of deceiving individuals, violating cybersecurity systems, and creating online content that is alarmingly authentic.

This phenomenon highlights the critical necessity for FIs to modify their approaches in response to the ever-changing digital environment.

Strategically Digitising For Enhanced Fraud Prevention

Despite the challenges posed by digital fraud, financial institutions should continue their digitisation efforts and should use digital technologies strategically to strengthen their fraud prevention measures.

FIs can leverage the new age technologies such as AI, data analytics, and machine learning to detect and eliminate fraud more effectively than ever before.

Striking the Right Balance Amidst the Digital Dilemma

In the midst of the digitalisation dilemma, financial institutions have to maintain a delicate balance between improving the customer experience and strengthening security measures. The key is to implement proactive strategies to reduce fraud while maintaining seamless access to financial services for legitimate customers.

The following are the proactive approaches to fraud mitigation:

Advanced Authentication Mechanisms

To improve identity verification processes, financial institutions can utilise advanced authentication mechanisms such as biometrics and risk-based authentication. Multi-factor authentication (MFA) should be required for accessing sensitive systems and data, lowering the risk of unauthorised access.

AI-Powered Threat Intelligence

Employing AI-powered threat intelligence platforms enables FIs to gather, analyse, and respond to real-time threat data effectively. By detecting emerging fraud patterns and anomalies, financial institutions can prevent fraudulent activities and mitigate potential risks.

Security Awareness And Training

Building a culture of security awareness among employees and customers is of utmost importance in combating fraud. Regular training sessions, phishing simulations, and awareness campaigns can educate individuals about recognizing and mitigating potential threats, thereby enhancing the overall cybersecurity posture.

Guardian AI Implementation

While transitioning entirely to a physical mode may not be feasible, implementing ‘Guardian AI’ offers a promising solution to enhance digital trust. Guardian AI empowers users to take control of their digital assets, offering a dual-layered approach that seamlessly integrates advanced antivirus scans with continuous AI-driven monitoring.

It manages the risks that are unique to AI and its adoption so that businesses can reach their full potential by leveraging AI. It analyses vast amounts of data to identify anomalies in transactions, user behaviour, and other factors that might suggest fraudulent activity. And ensures that AI is safe, secure, monitored, compliant, auditable and ethically deployed.

For example, a branch manager who has specific information about a user (how he talks, what he does, etc.) can identify between the actual account holder and a fraudster. Similarly, if AI has to effectively identify between real and fraud, we need to provide data and information to AI.

With more information being available about the user, a Guardian AI can distinguish between what is genuine or what is fraud. This illustrates how using detailed information of the user can enhance fraud detection capabilities, through an advanced AI algorithm.

Conclusion

In the face of evolving fraud threats, financial institutions must strike a delicate balance between digitalisation and fraud prevention. While digitalisation offers innovation and efficiency, it also introduces new risks requiring proactive strategies.

Nonetheless, embracing digital technologies alongside robust security measures enables FIs to navigate complexities and combat fraud effectively. Thus, finding an equilibrium between digitalisation and fraud prevention is crucial for ensuring resilience and trust in an increasingly digitised world.