Deepfakes—hyper-realistic digital forgeries—have gained significant attention as the rapid development of generative AI has made it easier to produce convincingly realistic videos and audio recordings that can deceive even the most discerning viewers. While deepfakes are a powerful tool for social engineering, cybersecurity professionals do not need to turn to new detection technologies or intensive “how to spot a deepfake” training programs in order to mitigate the risk that they pose. The goal of this research is to provide a guide that is resilient to evolving deepfake-enhanced threats by applying fundamental security principles.
Key strategies that the guide endorses include:
– Focusing on process adherence rather than visual or auditory detection of fakes
– Implementing and maintaining strong financial controls and verification procedures
– Cultivating a culture of awareness and skepticism towards unusual requests.
– Developing and regularly updating incident response plans.
