AI-Powered Malware Holds Potential For Extreme Consequences
AI has undoubtedly benefited threat actors, but how close are we to a world where AI-powered malware can autonomously invade a network?
Social engineering attacks are a type of cybercrime designed to exploit human weakness by using psychological manipulation to trick individuals into divulging sensitive information or performing actions that may be against their own interests. Financially motivated, the goal of these attacks is usually to gain access to confidential information or systems that the threat actors can then leverage for fraudulent or malicious purposes.
AI has undoubtedly benefited threat actors, but how close are we to a world where AI-powered malware can autonomously invade a network?
This last post in our social engineering prevention series provides guidance on what to do if you fall victim to a social engineering attack.
This broad overview of cybercrime includes the main types of cybercrime, underlying motivations, societal impact, and tactics for prevention.
This blog post offers social engineering countermeasures and provides guidance to minimize the risk of falling victim to these attacks.
Spear phishing at scale: A new era of AI fueled attacks where social engineering, social media, AI tools, and micro-targeting converge.
This post shares a few highly effective social engineering examples using micro-targeting techniques based on LinkedIn profile attributes.
From novice hackers to complex cybercriminal networks, see how attackers build detailed profiles of their social engineering attack targets.
Social engineering prevention basics: Learn what it is, the red flags of an attack, and how your personal digital habits create organizational risks.
Social engineering attacks are a type of cybercrime that human weakness by using psychological manipulation to trick individuals.
Threat Alert: Active PayPal payment request scam uses social engineering to exploit users and evade detection without the use of a link.