In today's digital age, the rise of online transactions has paved the way for a booming global digital payment landscape. Total transaction value in the Digital Payments market is projected to reach US$9.46tn in 2023 and is projected to reach US$14.78tn by 2027.
In parallel, global fraud rates have also surged. Global e-commerce fraud losses are set to exceed $48 billion this year, and over 50% of merchants globally are saying they're losing up to $5 million a year to account takeovers. Furthermore, with AI-driven fraud tactics from deepfakes to voiceovers to video avatars and bots driving a 90% concern in executives, how do businesses engaging online and truly protect against fraud?
The answer is simple—data and technology synergy with automation. Leveraging multi-layered KYC with advanced risk algorithm intelligence and machine learning enables a complete adaptive fraud defence against old and new fraud threats. Allowing businesses to safeguard revenue, remain secure and deepen customer trust.
By analyzing vast amounts of KYC and transactional data first processed through a robust risk engine, scrubbing against thousands of parameters, machine learning algorithms can automatically detect anomalies or suspicious activities that might escape human eyes. Traditional methods might rely on simply static rules, but ML thrives on dynamic data, evolving with emerging fraud techniques.
For instance, if a customer's behaviour suddenly changes, ML can promptly flag and identify potential account takeovers or bust out fraud. If a new fraud pattern emerges in the United States, ML can quickly adapt to this trend and flag similar behavior witnessed in other countries, ensuring global safety. Leveraging continual automated monitoring with dynamic system actions brings confident, trustworthy customer engagements and transactions.
Fraudsters often use multiple accounts or identities to hide their activities. Through ML, businesses can identify hidden associations between accounts, flagging potentially linked fraudulent transactions. For instance, when implementing device fingerprinting, which collects unique data about a customer's device paired with ML businesses, subtle anomalies are instantly detected when a fraudster attempts to evade this KYC by switching browsers, using virtual machines, or device spoofing.
Moreover, a single email used repeatedly for multiple account creations or frequent changes in account details—like username modifications while retaining consistent payment information— ML can trigger fraud alerts.
Combining ML with multi-layered perpetual Know Your Customer (KYC) procedures creates a vital security layer. We all know data is king, and the more data you have on your customers, the more confident you are in verifying their identity and transactions. Data is the powerhouse of ML, giving it an impenetrable baseline for every customer. However, integrating multiple data providers takes long and often painful processes, costs, and resources - making it challenging for businesses to remain agile and proactive.
Working with fully stacked KYC and risk providers such as AcuityTec enables in one API instant access to a comprehensive suite of KYC to configure into customer journeys. From behind-the-scenes KYC on a device, IP, email, address, name, and date of birth to document ID, liveness detection, authentication PIN codes, biometrics and more. Businesses can remain agile and customize active KYC on demand per touchpoint, region and payment method.
Machine learning isn't just about the transaction but the entire customer journey. When a user logs in, ML tracks and analyzes their perpetual KYC verifications and behavior. Are they at a different IP? Different device? Are they attempting multiple transactions in quick succession? Are they aggressively using another payment method from their history? When detected early, such behaviours can halt potential fraud before any monetary transactions even occur.
Cascading logic takes the data and ML fusion further, where automatically high-risk customers can undergo more stringent and additional checks, while low-risk customers experience smoother onboarding and transactions. Businesses that adopted ML-integrated KYC procedures saw a significant reduction in fraudulent account creation. With Acuitytec, businesses receive 99% accuracy across 240 countries and 150 languages.
As nefarious actors continuously adapt and refine their tactics, static defense mechanisms can quickly become obsolete. However, machine learning algorithms evolve, ensuring that defenses are always ahead.
Drawing from a vast historical and real-time database ML models learn from every interaction, continuously refining their parameters. So, if a new fraudulent method manages to bypass initial defenses, the system learns from that oversight, making it increasingly challenging for similar attempts in the future. This constant evolution creates a dynamic shield, ensuring businesses aren't just reacting to threats but predicting potential new fraud techniques to guard against for confident customer engagements.
In an increasingly digitized world, the significance of adaptive fraud prevention cannot be overstated. As the breadth of digital transactions grows, so does the imperative need to meticulously analyze behavioral patterns, maintain continuous verifications, and safeguard every facet of the customer's digital journey. Achieving this balance — robust security without compromising user experience or conversion rates — is paramount.
By aligning with comprehensive data and risk solution providers like AcuityTec, which harness the power of built-in Machine Learning, businesses can bolster customer confidence, shield revenue streams, elevate fraud management operations and pave the way for a more secure digital transaction environment. Prioritize security and trustworthiness in your digital ecosystem today.
AcuityTec is a leading provider specializing in global KYC, KYB, compliance and advanced fraud defence with real-time monitoring all through a single API. From onboarding to verifying and monitoring transactions, customize your end-to-end risk mitigation for unparalleled fraud protection to secure customers, and safeguard revenues.
For more information, Book a demo or contact a sales representative at email@example.com today.