Presentation: Deepfakes, Disinformation, and AI Content Are Taking Over the Internet

2026-04-24 · Source: InfoQ · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy, Emerging Technologies & Innovation · Depth: Intermediate, extended

Summary

Shuman Ghosemajumder, co-founder and CEO of Reken, details how generative AI has evolved into a powerful tool for disinformation and fraud, moving beyond its initial role as a creative curiosity. He highlights the concept of "Disinformation Automation," where AI enables the rapid, large-scale production of convincing fake content, from deepfake videos to AI-generated articles that mimic human writing. Ghosemajumder explains that traditional defenses like CAPTCHA are ineffective against AI, which achieves a 99.8% solve rate. He emphasizes the critical need for engineering leaders to implement zero-trust "cyber fusion" strategies, integrating fraud and InfoSec teams, to combat automated attacks that skillfully imitate human behavior and exploit communication channels at unprecedented scale.

Key takeaway

For CTOs and VPs of Engineering grappling with escalating cyber threats, your current security posture is likely insufficient against AI-powered disinformation and fraud. You must prioritize integrating zero-trust principles with "cyber fusion" centers, combining fraud and InfoSec expertise to detect sophisticated, automated attacks. Invest in behavioral analytics and multi-factor authentication, and critically, educate your teams on the pervasive nature of AI-generated content to mitigate social engineering risks.

Key insights

Generative AI automates disinformation and fraud at scale, rendering traditional defenses like CAPTCHA obsolete.

Principles

• Lies spread six times faster than truth on social media.
• AI-generated content is often indistinguishable from human content.
• Zero-trust security is essential for defending against AI-powered attacks.

Method

Implement "cyber fusion" strategies by integrating fraud and InfoSec teams to analyze behavioral data across accounts, devices, and individuals, identifying anomalies and patterns indicative of AI-driven abuse.

In practice

• Block all AI-enabled browsers in your organization.
• Use multi-factor authentication extensively.
• Develop internal secret passwords for family/team communication.

Topics

• Deepfakes
• Disinformation Automation
• Generative AI
• Cybersecurity Threats
• Zero-Trust Security

Best for: CTO, VP of Engineering/Data, Executive, AI Security Engineer, Security Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by InfoQ.