Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How Generative AI Can Help Identify Malware? Spambrella explains how AI models add value: Generative AI models can identify malware by learning the patterns and structures typical of malicious code versus benign software. Code Generation and Analysis – By generating variations of known malware, these models can simulate potential new forms of malware, helping cybersecurity teams anticipate and defend against unseen threats.

Today's digital world is always at risk from malware, so it's more important than ever to have good safety habits. Most of the time, the first thing a company does when they find a disease is isolate the threat. This process comes up with the idea of "quarantined malware," which is malicious software that has been found and put somewhere else so it can't do more damage. For a company, this is a very important part of their security plan because it keeps systems safe from attacks.

In early August, Arctic Wolf Labs began observing a marked increase in Fog and Akira ransomware intrusions where initial access to victim environments involved the use of SonicWall SSL VPN accounts. Based on victimology data showing a variety of targeted industries and organization sizes, we assess that the intrusions are likely opportunistic, and the threat actors are not targeting a specific set of industries.

Historically, Mac users haven't had to worry about malware as much as their Windows-using cousins. Although malware targeting Apple devices actually predates viruses written for PCs, and there have been some families of malware that have presented a significant threat for both operating systems (for instance, the Word macro viruses that hit computers hard from 1995 onwards), it is generally the case that you're simply a lot less likely to encounter malware on your Mac than you are on your Windows PC.

DDoS attacks have become an annoyance most companies assume they may have to deal with at some point. While frustrating, minor website disruptions from small-scale hacktivist campaigns rarely create substantial business impacts. However, a particularly insidious DDoS spinoff has emerged over the past decade – one aimed at blackmail. This evolutionary milestone stems from what's called Ransom DDoS (RDDoS), likely one of the most outrageous cybercrime weapons targeting businesses globally since 2015.

A recent analysis of the ransomware group Meow raises the notion that groups are evolving from using encryption as a tactic to more profitable and cost-effective methods. At the end of the day, ransomware is a business. Those behind the malware used in ransomware attacks typically seek to make money, whether that be directly from the victim organization or by way of a nation-state paying for the gang’s services.