Generative AI has given rise to a new attack vector: deepfakes. While the technology offers some benefits, deepfakes present serious security risks, including misinformation, deception, and identity fraud in today’s digital landscape. This article explores how deepfake images, videos, and voice samples are created, how attackers are leveraging them, and some tools and techniques to detect and counter against these deepfake attacks.

Generative Adversarial Networks (GANs) paved the way for modern AI breakthroughs, including the transformer-based large language models (LLMs) that now domain the tech industry. This article walks through how to build a GAN from scratch while exploring the nuances that help forensics tools that detect AI generated content.

CAPTCHA was created to help websites and web applications distinguish humans from bots. Ironically, with recent advancements in AI, most CAPTCHA challengs can now be solved with bots. This article examples how CAPTCHA challengs are designed, how modern AI tools can easily bypass most CAPTCHA challenges operating in production today, and new techniques for differentiating humans from bots.

Phishing attacks have remainded one of the most comon techniques used to compromised credentials, MFA tokens and access tokens. This article walks through the anatomy of a phishing attack, including how phishing tools work and how they can easily extract authentication data from your standard website to resources secured by leading identity security solutions.