Why Report on Fraud and Abuse?

You’ve got a team of analysts fighting fight fraud and abuse. You’re doing what you can to delight your customers and keep them safe. You seem to be doing everything right….but are you? Without the right data, it’s impossible to know. To understand your business’ health, it’s vital to have accurate, comprehensive measurement. But many […]

10 Fraud Myths: The Hidden Insights that Drive Business Decisions

Think you know when the most online fraud takes place? It’s probably Cyber Monday or Black Friday, right? What about the fraudiest country in the world? Somewhere in Eastern Europe? Businesses may think they understand fraud, but the reality is far more complex. This lack of insight leads to guessing, incorrect conclusions, and bad decisions. […]

Announcing Sift Insights

Most businesses have a limited view of how effectively they’re fighting fraud. Existing reporting solutions rely on data that’s captured daily or weekly, but fraud is a constantly moving target. And with 40% of businesses tracking only chargeback rate, fraud managers are missing the impact their efforts are having on top-line growth. That’s why we’re […]

[Infographic] The 9 Flavors of Content Spam

Remember email spam? It used to be the scourge of the inbox, drowning out legitimate messages with sketchy offers for cheap pills and fast loans. But thanks to machine learning, these days you rarely see an unsolicited ad or offer pop up in email. The bad news? Instead, scammers have moved on to plague communities, […]

New analyst report: Gartner’s Market Guide for Online Fraud Detection

Online fraud detection is growing in complexity and demand. What qualities should security and risk management leaders look for in a solution? Gartner’s Market Guide for Online Fraud Detection provides an overview of the market’s direction, from approaches that offer static data-based identification to those providing continuous risk assessment. The guide also discusses the rise […]

Machine Learning for Fraud Prevention: What’s Next

Advancements in technology – including improvements in computing power and wide-scale availability of big data – have radically changed how companies use machine learning. Fraud prevention is a major area in which machine learning is transforming both workflows and outcomes, allowing organizations to stay ahead of increasingly technologically advanced criminals. How can you take advantage of […]

[Podcast] Giving Away Our Secrets? The Promise and Peril of White Hat Hacking

White hat hackers roam the internet in search of security vulnerabilities. Unlike their black hat counterparts, their goal isn’t to penetrate those vulnerabilities: it’s to make website and business owners aware of these dangerous loopholes. But Alex Rice, co-founder of bug bounty organization HackerOne, says that white hat hackers are playing a dangerous game. Without […]

[Podcast] Alarmism & ATO + 3 Surprising Findings from Our New Podcast

Sift Science is excited to announce that we’ve launched a podcast, Trust & Safety in Numbers! On Trust & Safety in Numbers, our host, Evan (that’s me!), and our trust and safety guru, Kevin Lee, will chat with people on all sides of the online fraud fight: fraud analysts, FBI agents, security consultants, former hackers, rogue cyborgs (okay, […]