AI and Machine Learning in Cybersecurity
This post explores AI and Machine Learning for cybersecurity, including the various types, applications, challenges, and future potential.| zvelo
This post explores AI and Machine Learning for cybersecurity, including the various types, applications, challenges, and future potential.| zvelo
AI has undoubtedly benefited threat actors, but how close are we to a world where AI-powered malware can autonomously invade a network?| zvelo
Recommendations for a core set of cybersecurity tools for balanced security throughout the different layers in the Circle of Trust.| zvelo
This broad overview of cybercrime includes the main types of cybercrime, underlying motivations, societal impact, and tactics for prevention.| zvelo
zvelo's threat intelligence delivers significant cost savings and powerful improvements to the Client's threat detection capabilities.| zvelo
Social engineering attacks are a type of cybercrime that human weakness by using psychological manipulation to trick individuals.| zvelo
A curated threat intelligence approach, in which aging data is managed based on current attack status, is crucial to preventing cybercrime.| zvelo
Discover the anatomy of phishing attacks, and how to improve your defenses with the right phishing detection tools for the many attack types.| zvelo
Provides visualizations of malware statistics that have happened in the last year, 2 years, 5 years, and 10 year time period.| www.av-test.org
Modern cyber risk management requires understanding ransomware. This post covers the basics from infiltration to extortion, plus prevention.| zvelo
