What is a deepfake, and how can we tell what’s real? This primer explores how synthetic content (aka deepfake) is made, the risks they pose, and how they are used in attacks. This article also explores the emerging techniques for detecting AI-generated content in the wild.

Generative Adversarial Networks (GANs) have driven major breakthroughs in AI, including the foundation for large language models. This article explains how GANs work, how to build one from scratch, and how they can be used to generate—and detect—AI-created content.

CAPTCHAs were once reliable for distinguishing humans from bots. Today, AI models can easily bypass most CAPTCHA systems. This article breaks down how CAPTCHA systems work, why they’re failing, and emerging approaches to countering more sophisticated bots.

Phishing remains one of the most effective ways attackers steal credentials, MFA codes, and tokens. This article dissects how phishing attacks work, how attackers harvest authentication data, and what defenses can be built to mitigate these risks using modern identity security techniques.