Account takeovers, loyalty frauds, first-party abuses, chargeback scams—the global fraud economy is thriving as consumers go increasingly digital. Powered by automation, interconnected ecosystems, and advanced social engineering, threat actors are achieving new levels of sophistication. And businesses across all industries are struggling to catch up due to over-reliance on reactive detection strategies. What can they do instead? Adopt proactive fraud-prevention solutions to safeguard assets as well as user trust.
According to Cybercrime magazine, the cost of global cyber fraud was projected to reach a whopping $10.5 trillion in 2025 and climb to $12.2 trillion by 2031. According to the 2026 Interpol Global Financial Fraud Threat Assessment, fraud schemes using AI are 4.5 times more damaging than traditional ones. The Global Fraud Summit held in Vienna, where 44 countries pledged to deter fraud at source and enhance victim support, clearly reflects the urgency of the threat.
Stopping fraud at source is easier said than done. It requires a holistic approach combining real-time monitoring, risk scoring, user authentication, behavioural biometrics, and cross-sector collaboration. Also, businesses must decide if they want to employ point solutions, typically designed to solve a single problem or opt for integrated platforms that can solve multiple use cases across a specific domain. Point solutions may be easier to implement but they carry the risk of data silos and blind spots. On the other hand, unified platforms may involve higher initial deployment costs but facilitate more streamlined investigations. They also provide a smoother user experience, a priority for most businesses looking to stop fraud.
Before picking a solution, businesses must carefully evaluate their security needs, transaction volume, and tech integration requirements. Here are a few key aspects to look for in a solution to ensure effective fraud management.
- Multi-layered security: This strategy combines various independent tools and checkpoints across the entire customer lifecycle — identity verification, device intelligence, transaction tracking, and manual review — to mitigate risks. The idea is that even if one layer is breached, others can still block the threat.
- Real-time transaction monitoring: Fraud happens in milliseconds, so prevention/detection must happen faster. This automated process instantly evaluates financial payments and activities to flag anomalies and block fraudulent transfers before funds leave an account.
- Risk scoring: Fraud-prevention platforms can use rule-based systems, machine learning (ML) models or a combination of both to assign a numerical value to a transaction, account or user interaction to assess the possibility of fraudulent intent. These scores enable detection of suspicious patterns and abnormalities, enhancing decision-making.
- Dynamic friction: Customer experience plays an instrumental role in driving revenue growth. Dynamic friction—an adaptive security approach that scales verification checks based on real-time risk signals instead of applying a rigid barrier to every user—balances security and customer experience. With this control pattern, businesses can keep things smooth for trusted users but trigger multi-factor authentication on suspecting something amiss.
- Tech integration: Businesses should evaluate how easily the system integrates with their current technology stack and handles data streams. They should look for platforms that offer modular application programming interfaces (APIs) and low-latency data pipelines. This is crucial to prevent data silos, offer a frictionless customer experience, and ensure operational efficiency.
- Cost constraints: Budget is a key factor to consider before investing in a solution. Though premium solutions may come with higher upfront costs, they deliver a better return on investment (ROI) by lowering long-term operational expenses such as fewer manual reviews and downstream fraud losses.
- Scalability: Lastly, fraud-management solutions need to be adaptable and agile to deal with evolving threats. They must also grow with the business. Systems that can scale easily in terms of data volume, diversity, transaction speed and geographic or customer expansion, and can incorporate regulatory changes are the ones to look out for.
While investing in the right fraud-management solution is vital to securing finances and reputation, businesses must also invest in training employees—the first line of defence against internal and external threats. By teaching them to identify risks and behavioural red flags, educating them about internal controls and outlining confidential ways to report suspicious activity, businesses can ensure quicker resolution to fraud-related issues. Organisations must also engage customers in fraud prevention through targeted education and real-time communication.
Bottom line
To reiterate, fighting fraud is a formidable challenge in today’s hyperconnected world. While technology is a strong ally, it is not the only defence. By combining it with the right expertise and foresight, businesses can create resilient and future-proof systems while fostering trust and reliability within the financial ecosystem. Act today for a safer tomorrow.
How Infosys BPM can help
Infosys BPM uses predictive intelligence, business analytics and industry-standard platforms to help businesses assess risks, spot frauds, analyse patterns and develop a pre-emptive approach to avoid/manage frauds. Our comprehensive set of Fraud Detection, Prevention and Management Solutions offer deep domain expertise, data science and advanced visualisation capabilities to build solutions tailored for different industries and requirements.
