Deepfakes: Escalating Threats and Countermeasures
Explore the impact of generative AI on deepfakes, the escalating threats in cybersecurity, and mitigation tactics to combat AI-driven fraud.
Social engineering is 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.
While there are numerous types of social engineering attacks, they all tend to involve tactics such as building trust and rapport with a target, using authority or legitimacy to coerce a response, or exploiting human emotions such as fear, greed, or curiosity.
Explore the impact of generative AI on deepfakes, the escalating threats in cybersecurity, and mitigation tactics to combat AI-driven fraud.
This last post in our social engineering prevention series provides guidance on what to do if you fall victim to a social engineering attack.
Threat Advisory: Attackers are using file-sharing services like Smash or WeTransfer to deliver Bumblebee malware disguised as RFPs.
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.