FRAUD
Elon Musk recently highlighted a big problem with Twitter: bots. We all know bots have been a significant problem on Social Media platforms. What makes bots so bad? Aside from the well-known issue of fake comments creating social toxicity and polarity, bots are also responsible for running financial scams on social media platforms. Examples include… Continue reading Elon, Bots, and Rampant Fraud on the Web
Telegram is a free, end-to-end encrypted instant messaging app with over 550 million users worldwide. Telegram likes to portray itself as an alternative to Signal and WhatsApp. On the surface it might look like Telegram is just another instant messaging app, but when you dig deep the reality couldn’t be more different. What makes Telegram… Continue reading Dark Web Threat Intelligence Series Part One: Cyberthreats on Telegram
While browsing Reddit, I came across subreddits like r/rateme, r/amiugly. These are subreddits where people post pictures of themselves for others to give feedback on their looks and how to improve them. But there’s a catch …. To combat fake profiles posting on these subreddits, moderators of these subreddits require you to hold a piece… Continue reading Why Reddit’s Identity Verification Process is a Goldmine for Synthetic ID Frauds
See What Technologies are Critical to Modern Brand Protection Why Does Brand Protection Need to Change? Bolster works with some of the biggest brands in the world across multiple industries. Our customer base includes some of the largest companies in the world as well as smaller companies whose brand protection needs are simpler, though not… Continue reading Definitive Guide to Modern Brand Protection
The biggest retail event of the year has been confirmed with Amazon’s announcement of their 2021 Prime Day of June 21 and 22. Typically held in the summer, the event was moved to October last year due to supply chain and delivery disruptions because of the pandemic. Despite all of the issues Amazon faced, sales… Continue reading Amazon Scams up 7X Leading up to Prime Day
Automation, Artificial Intelligence and Machine Learning Should Also Apply to Fraud Site Detection and Removal Warning: There are a lot of acronyms in this post that are used interchangeably in the mainstream. However, these terms—artificial intelligence (AI), analytics, machine learning (ML), and automation—are actually more symbiotic than they interchangeable. In the security world, these functions… Continue reading Smarter Not Harder: Using AI & ML for Automated Fraud Detection
By Deb Radcliff, Evangelist, Bolster I consider myself one of the first (if not the first) cybercrime investigative beat reporters for the business community. My eyes were opened back in 1995, when working as investigative reporter on a best-selling book about hacker-on-the-run, Kevin Mitnick, and I’ve been prolific on the issue ever since. When I… Continue reading A Journalist’s History of eCommerce Fraud