Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Automated Brand Impersonation Protection: How It Works (and Why It Matters Now)

Automated brand impersonation protection has become a baseline requirement for digital security. As phishing operations scale across web domains, mobile app stores, social platforms, and ad networks, attackers are moving faster and operating more broadly than ever before. Traditional defenses – periodic scans, manual takedowns, post-incident analysis – are too slow and too shallow.

PharmaFraud: how illegal online pharmacies endanger your health and your wallet

Pharma fraud: How illegal online pharmacies endanger your health and your wallet Even when a website looks legitimate, buying medicine online can expose you to scams that might seriously impact your finances, data or even physical health. When you’re in urgent need of medication – whether it’s a routine antibiotic, a high-demand weight loss treatment, or something more private – the internet can seem like the quickest, most discreet option.

Undercover Investigations: How AI is Supercharging Romance Scams

As someone that’s been in the industry for over 20 years, I’ve seen my fair share of online scams. But this is the kind of story you hear and can’t quite believe. At the last RSA cybersecurity conference, a colleague of mine–someone who lives and breathes digital security, a CISO–admitted he’d been taken in by an online romance scam. My first thought was, how?

Tales from the fraud frontlines: Inside the rise of BIN attacks - and how to prevent them

Picture this: You’re in the middle of dinner with friends when your work phone buzzes. It’s the fraud supervisor with alarming news: Low-value transactions are suddenly flooding your servers. Your gut tightens as you hastily excuse yourself and head straight to the office to help secure your customers’ accounts against what turns out to be a Bank Identification Number (BIN) attack.

AI Voice Mimicry: How to Protect Yourself From Scams #appsec #cybersecurity

Mend.io, formerly known as Whitesource, has over a decade of experience helping global organizations build world-class AppSec programs that reduce risk and accelerate development -– using tools built into the technologies that software and security teams already love. Our automated technology protects organizations from supply chain and malicious package attacks, vulnerabilities in open source and custom code, and open-source license risks.

How to Detect and Stop Fake Mobile Apps Before They Lead to Account Takeover

Fake apps are the latest evolution of brand impersonation, and they’re proving just as dangerous as phishing sites. Fraudsters clone legitimate mobile apps, publish them on official app stores, and trick users into entering credentials — which are then reused in the real app before anyone notices. Given that over 60% of web traffic is now mobile, this form of phishing-driven credential reuse has become one of the top blind spots in mobile fraud defense.

The MemcycoFM Show: Episode 8 - What to Look for in a Phishing Site Detection and Takedown Solution

The stark challenge to modern phishing site detection is that the efficacy of a detection strategy is now measured in seconds, not hours. In 2024, threat actors stole credentials in a median of 49 seconds from the moment a phishing email was opened, according to Verizons’s Data Breach Investigation Report (DIBR) report. Given this reality, relying on scanning and takedown or traditional threat intelligence feeds – that inherently lag behind real-time user engagement – is no longer a viable defense against even unsophisticated credential theft and account takeover (ATO) scams.

Job Seekers Beware: Many People Are Falling for Employment Scams

More than one in ten people who were targeted by job scams this year fell victim, according to a report from Resume.org. Younger people, particularly young men, are more likely to fall victim. “In total, 14% of those who received a job scam text fell victim,” the report says. “Younger workers are more likely to have fallen victim to the scam. “Twenty percent of Gen Zers fell for a job scam, followed by 16% of millennials, 10% of Gen Xers, and just 4% of boomers.