Fraud Prevention

Think of chargebacks as mechanisms to protect customers from unauthorized or fraudulent transactions. It spares customers from the trouble of contacting the merchant for a refund. Instead, they can approach their bank directly and request a reversal of the transaction. While this system ensures fair consumer protection, it has also led to unintended consequences for businesses in the form of Chargeback Fraud. In this blog, we dive deeper into what chargebacks are, different types of chargeback fraud, how to prevent them, and more.‍

In this blog, we dive deeper into what browser fingerprinting is, how it works, top 9 browser fingerprinting techniques, and more. Along with each browser fingerprinting technique, we also give a few use cases and ways to circumvent it.

Fraudsters are using SIM Swap Detection to intercept OTPs and rob your customers. In this blog, we dive deeper into what SIM Swap Fraud is and what can businesses do to protect their customers' accounts.

In this Fraud Detection and Prevention guide, we talk about different types of fraud across industries, common challenges, the use of fraud analytics, and much more!

Location Spoofing has harmful implications for businesses across all industries. In this blog, we dive deeper into how to detect location spoofing effectively for fraud detection and prevention.

- Device ID is a unique identifier for each user device, allowing security teams to track it within their business networks. - It supports device-based authentication and access control to accurately distinguish between legitimate returning users and malicious devices. - Device ID is combined with other digital parameters, such as browser version, operating system, screen resolution, and installed fonts, to create a comprehensive digital fingerprint of a device. - Recognizing and analyzing fundamental device fingerprints can help prevent spoofing and fraud attempts. - Tracking Device ID without user consent has given rise to privacy, ethical, and legal concerns. - Regulations like the GDPR, CCPA, and ATT frameworks aim to build accountability and transparency in user data collection. Reliance on static or traditional Device IDs will reduce in the future.

Paywall abuse is quietly draining millions from businesses as users find ways to enjoy premium services without paying. In price-conscious markets, tactics like VPN masking and credential stuffing has been fueling massive revenue leaks. Want to know how paywalls are exploited to commit subscription fraud, and how to stop it? Read on.

Crypto fraud is becoming increasingly sophisticated, with scams like pig butchering, cryptojacking, and money laundering exploiting the industry's anonymity and decentralized nature. As fraudsters adapt, securing exchanges and investors has never been more critical.

For certain repetitive, predictable and routine tasks, behavioural traits effectively lead to a unique profile for genuine userss. Being able to analyse and compute these behavioural biometrics enables fraud prevention players to detect “non-humannes” and more sinister actors at play. Read more about how it works here.

'Fraud as a Service' (FaaS) is an alarming trend where this model, similar to legitimate SaaS platforms, allows cybercriminals to purchase and deploy fraudulent tools (or entire toolkits!) with ease. As this underground economy grows, understanding FaaS is crucial for businesses looking to protect themselves from ever-increasing cyber threats.

While users want an intuitive and smooth user experience, fraud verification checks and controls may sometimes hamper this experience by introducing friction into a user journey. How can organisations decide whether to prioritise speed and UX or robust security? In this blog, we want to introduce intelligent frameworks that help reduce fraud while maintaining an optimal user experience.

In the competitive landscape of India's education sector, various forms of examination fraud persist that easily exploit vulnerabilities in the system. In the past month, alleged paper leaks and manipulated marks in national-level exams have put the futures of 3.5 million aspirants at risk. Understanding these methods is crucial to comprehending the issue's magnitude and devising effective solutions.

Banking, eCommerce, and gaming companies with less stringent identity verification processes usually fall prey to the damages caused by new account fraud. These fraudulent accounts can cause direct damages to targeted businesses or can lay the foundation for a larger, more elaborate fraud that happens much later. Read about new account fraud and how we can prevent it here.

Social engineering tactics do not employ simple viruses or account takeovers. In most instances, the owner of the financial asset gives out the information to fraudsters or completes their financial requests. We explore how human emotions are manipulated using psychological power play in our latest blog. Read to know more about social engineering and how to mitigate its impact.

Traditional age verification methods are inadequate in the face of rising fraud tactics. Additionally, these are too invasive, causing unnecessary friction and abandonment during onboarding. An age verification software that takes a risk-based approach is a more intelligent, dynamic solution that can tailor verification processes to the specific risk level of each user interaction.

The types of fraud victims fall prey to differ from stage to stage in a customer journey. If identity thefts are common during onboarding, payment-related frauds like credential stuffing are common during the transaction stage. Here’s a walkthrough of the different types of fraud that you can see as you move through the customer journey. (Bonus: We also tell you the specific signals that help detect fraud)

Unmasking the Threat: 2023 Fraud Report Reveals Alarming Rise in Digital Fraud and Actionable Defenses. Dive into 'The Anatomy of Fraud 2023' report, exposing the mammoth $86 billion global fraud market projected by 2027. Asia-Pacific leads the charge, with India steering the growth. Attacks on digital gateways wreak havoc, demanding robust solutions at the inception of consumer interaction.

In our guest column, Prim Warner talks about how Artificial Intelligence (AI) has emerged as a game-changer in the fight against fraud, and why it is undoubtedly the future of fraud detection and prevention.

Behavioural Biometrics, a new-age proactive fraud detection engine, can detect frauds much before it happens.

Cyber fraud affects businesses of all sizes and is prevalent across industries. It can erode customer trust, damage reputation, and result in significant financial losses. Hence, creating a multi-pronged approach using Artificial Intelligence (AI) & Machine learning (ML) turns out to be more efficient than traditional fraud detection methods.

Behavioural Biometrics is a new-age proactive fraud detection engine that can detect new-age frauds much before the fraud happens. All this without additional friction.