- March 14, 2019Researchers reported two Android malware campaigns that have more than 250 million combined installs: SimBad and Operation Sheep. Learn more about these threats and how to defend against them.
Threat Landscape in the Americas: How Managed Detection and Response Helps Address Persistent ThreatsMarch 07, 2019We look at the most pervasive information stealers, ransomware, and cryptocurrency-mining malware in the Americas in 2018 and how they highlight the significance of proactive threat detection and incident response capabilities.
- January 29, 2019Owners and administrators of WordPress websites that use the “Total Donations” plugin are advised to remove the plugin after a zero-day vulnerability and design flaws were seen actively exploited in the wild.
- December 20, 2018Fileless threats aren’t as visible compared to traditional malware and employ a variety of techniques to stay persistent. Here's a closer look at how fileless malware work and what can be done to thwart them.
- November 29, 2018Advertising for legal services is slowly but surely advancing. Lawyers first won the right to advertise in newspapers, then they progressed to phone books, and now they have moved online.
- October 29, 2018To move forward, we need to look into the past to figure out what the best course of action is. Take a trip down memory lane with this infographic to see how far we've come in securing the digital world.
Toll Fraud, International Revenue Share Fraud and More: How Criminals Monetize Hacked Cellphones and IoT Devices for Telecom FraudOctober 23, 2018A critical factor contributing to the increasing expenses on mobile phones is fraud. Recently, the cost of criminal telecom equipment has decreased to the point that individuals can launch attacks. Read our report produced in collaboration with Europol.
- October 02, 2018Here’s a closer look at the challenges enterprises are confronted with when adopting a more robust cybersecurity strategy, and how managed detection and response can help address them.
- July 12, 2018Addressing the need for a more efficient way to defend against spam in the early 2000s, the antispam industry turned to machine learning. The effect: Overall cyberdefense was enhanced to catch approximately 95 percent of spam.