The dead internet theory: What an AI-dominated web would mean for security

The internet was once built on an implicit assumption: that behind most content, messages and interactions, there was a real human. That assumption is rapidly eroding.

As generative AI tools scale, vast volumes of online content are now produced by machines — from articles and social posts to customer interactions and synthetic identities. This shift has given rise to renewed discussion around the “Dead Internet Theory”: the idea that much of the web could soon be dominated by AI-generated material rather than genuine human activity.

In this webinar, Richard Ford (CTO, Integrity360) and Brian Martin (Director of Product Management, Integrity360), explore the cyber security implications of an internet increasingly shaped by synthetic content.

Together, they will unpack how AI-driven ecosystems are accelerating disinformation, enabling large-scale fraud and undermining the trust models organisations depend on for communication, due diligence and decision-making. The session will also examine how deepfake technologies and automated identity generation are evolving — and what organisations must do to validate identities, transactions and communications in a digital environment where authenticity can no longer be assumed.

Join us for a forward-looking discussion on how security leaders can adapt controls, verification processes and risk frameworks for a web where distinguishing between human and machine is becoming increasingly difficult.

What you will learn:

• What the “Dead Internet Theory” means in the context of modern cyber security

• How AI-generated content is reshaping the online threat landscape

• The role of synthetic media and deepfakes in fraud, impersonation and disinformation campaigns

• Why traditional trust models for communication and verification are breaking down

• How attackers are leveraging automated identity generation at scale

• Practical controls for validating identities, communications and financial transactions

• Steps organisations can take to protect decision-making processes in an AI-dominated information environment