Generative AI not only opens up new possibilities for businesses—it’s also changing the tactics used by cybercriminals. Realistic-sounding voices, manipulated videos, and highly personalized messages are making social engineering attacks increasingly difficult to detect.
A phone call from a supposed CEO, a voice message from a coworker, or even a video conference with familiar faces: Modern AI enables attackers to convincingly impersonate digital identities and exploit trust in a targeted manner.
As a result, traditional warning signs—such as poor grammar or conspicuous phrasing—are becoming increasingly less significant. It becomes particularly dangerous when attackers combine multiple communication channels and tailor their approach precisely to specific individuals, roles, and business processes.
For companies, this means that security awareness alone is not enough. What is needed is a cyber defense strategy that integrates people, processes, and technology. Additional verification mechanisms, clear approval processes, and the detection of suspicious activity are becoming increasingly important.
In our new white paper , “Detecting Deepfake Attacks: How AI Is Changing Social Engineering,” our Cyber Defense Consultant, Nils Dohmen, explains how the threat landscape is evolving, which attack scenarios companies should be aware of, and what an effective defense against AI-powered social engineering might look like.
Read the full technical article now and learn how companies can rebuild trust in the age of AI. To the Research Article
