As we delve deeper into the cybercriminal landscape, infostealer malware remains a pervasive threat, continuing to evolve and adapt to net attackers a wealth of sensitive data. These malicious tools, deftly infiltrating systems, swipe everything from login credentials to credit card details, fueling a thriving black market on the dark
In the ever-evolving landscape of cybersecurity, tools like VirusTotal can provide invaluable insights. However, as a recent headline-grabbing incident demonstrated, it’s crucial to understand how to use these resources responsibly to avoid accidental data leaks. In today’s evolving cybersecurity landscape, two phrases are gaining traction and for good reason –
Introduction BumbleBee is a fairly new malware loader that targets Windows computers. The initial discovery occurred in March 2022, marking a full year since its emergence. In this blog post, we’ll summarize BumbleBee’s activities, features, and important points based on the research published over the past year. Getting a handle
Introduction Historically, leveraging shared threat intelligence for malware detection has presented significant challenges to security teams. These challenges stem from the ever-evolving nature of malware threats, as well as the need for timely and accurate intelligence sharing among relevant parties. Traditional hash-based indicators, which rely on precise matches, frequently fall
Introduction The ML series blogs we posted, recently, focused on the details of creating ML models addressing VMRay’s defined use case, which is enhancing its phishing URL detection. In this series, we tackled how we engineered features (i.e. feature engineering) to be used in model training, using the clean output
Introduction Malware threat landscape is constantly shifting towards advanced and targeted cyber attacks. It’s hard to find the balance between the increasing need for higher level of detection with to overwhelming your teams with higher volume and frequency of alerts, which lead to alert fatigue. It’s not just about detecting
Why (and which) data is essential to create a reliable Machine Learning model? Machine Learning Blog Post Series – 4: By Shazia Saqib MACHINE LEARNING BLOG SERIES Machine Learning & Cybersecurity – An Introduction The main concepts of AI and Machine Learning Why we need Machine Learning in Cybersecurity, and
Introduction Artificial intelligence, and more precisely machine learning (ML), has become an almost omnipresent topic in the tech industry over the last decade. ML is applied to all kinds of problems, from image and speech recognition, online fraud detection, up to stock market predictions. It seems just natural to also
The Main Concepts of AI and Machine Learning: An Overview By Martin Rupp Blog Series 1: Machine Learning and Cyber Security: An Introduction Blog Series 1: Machine Learning and Cyber Security: An Introduction The WEF forecasts the global value of AI in cyber security to grow up to 46 billion
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