Category: Threat Blogs

A Data Breach is Just the Beginning

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The real concern with a data breach is what happens next, because of what fraudsters will do with the stolen data.

Stolen data can be used anywhere. In fact, it will be. The question is, can you stop the attack before it’s too late?

How Early Detection Exposed the Mass Registrations Polluting a Fortune 100 Company’s Online Platform

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E-commerce sites that offer shipping services are being increasingly targeted by fraudsters who exploit platform vulnerabilities.

Shipping-related fraud has become a critical part of the modern fraudster’s cross-platform toolkit, but contextual detection, holistic data analysis, and unsupervised machine learning can combine to stop fraud before damage happens.

Is Protecting Your Customers Against Fraud Your Most Important Competitive Advantage?

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The decision for businesses is a simple one: choose to protect your customers before the damage happens, or after.

Recent research makes it clear that customers today expect companies to protect their personal and financial data—or else.

React, or Prevent? Why Organizations Must Embrace A Proactive Approach To Fraud Management

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Proactive fraud prevention is a concept, but it’s also something that can be applied in very tangible and tactical ways.

If you're only keeping up with fraud, you're already behind. It's only through proactive fraud prevention approaches that modern fraud can be stopped.

3 Tips for Adopting a Fraud Prevention Approach for the Long Term

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Defining a fraud strategy that can accommodate continuous change is no easy task. But it is possible.

Here are three tips on how you can implement a fraud strategy that enables you and your team to react rapidly to emerging fraud channels, patterns, and techniques.

Defeating Mass Registration with Unsupervised Machine Learning

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Advanced algorithms, big data analytics, and real-time detection capabilities are empowering marketplaces and social…

Advanced algorithms, big data analytics, and real-time detection capabilities are empowering marketplaces and social platforms to detect fraud holistically and act decisively.

Automated Feature Engineering

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How to achieve exceptional model accuracy in minutes instead of months with automated feature engineering and…

How to achieve exceptional model accuracy in minutes instead of months with automated feature engineering and unsupervised machine learning. Sophisticated modeling practices are critical for modern fraud management, and the ability to detect, deter, and defeat massive-scale coordinated attacks is…

Formjacking: Trendy term, or legitimate threat?

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The theft of financial data via simple “living off the land” (LotL) attacks can lead to massive, bot-powered fraud.

Small incidents can lead to big problems very quickly—particularly when bots are involved. If you have one bot attack, you have the potential of millions of bot attacks. This is why proactive fraud solutions are so critical. The sooner you stop the problem, the smaller the damage will be.

Bot attacks, and one airline’s battle to defeat them

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As malicious bot attacks become more sophisticated, the ticketing industry is struggling. One airline is fighting back.

Modern online fraud is massive in scale, and the rise of bot-powered attacks has increased scope and complexity. Reactive strategies are not enough. The goal shouldn’t be to fix the damage. The goal should be to prevent it.