The Age of Sensorial Zero Trust: Why We Can No Longer Trust Our Senses

Authors: Fabio Correa Xavier

Published: 2025-07-01 16:11:41+00:00

AI Summary

This article proposes Sensorial Zero Trust, a security framework extending Zero Trust principles to human sensory information, addressing the growing threat of deepfakes and AI-cloned voices.

Abstract

In a world where deepfakes and cloned voices are emerging as sophisticated attack vectors, organizations require a new security mindset: Sensorial Zero Trust [9]. This article presents a scientific analysis of the need to systematically doubt information perceived through the senses, establishing rigorous verification protocols to mitigate the risks of fraud based on generative artificial intelligence. Key concepts, such as Out-of-Band verification, Vision-Language Models (VLMs) as forensic collaborators, cryptographic provenance, and human training, are integrated into a framework that extends Zero Trust principles to human sensory information. The approach is grounded in empirical findings and academic research, emphasizing that in an era of AI-generated realities, even our eyes and ears can no longer be implicitly trusted without verification. Leaders are called to foster a culture of methodological skepticism to protect organizational integrity in this new threat landscape.


Key findings
The paper highlights the rapid increase in deepfake incidents and their significant economic impact. It emphasizes the inadequacy of relying solely on human senses for authentication in this new landscape and advocates for a multi-layered approach involving technology and human training to mitigate risks.
Approach
The proposed Sensorial Zero Trust framework integrates Out-of-Band verification, extended multi-factor authentication, continuous authentication using behavioral biometrics, and automated deepfake detection technologies, complemented by robust human training.
Datasets
UNKNOWN
Model(s)
UNKNOWN (the paper discusses the use of deepfake detection algorithms and models but does not specify which ones)
Author countries
Brazil