Artificial intelligence (AI) can be used to manipulate images, video and audio files within seconds, or to generate falsified new content that appears deceptively real. Faces, voices and even entire video sequences can now be altered using freely available tools. The quality of such content is improving, whilst the technical effort required is decreasing – making it increasingly difficult to distinguish between genuine and manipulated information.
Why are deepfakes a problem for businesses?
For businesses, deepfakes pose a tangible business risk. They enable fraudulent scenarios such as fake calls from senior executives (CEO fraud), manipulate internal and external communications, and can cause significant reputational damage. In marketing and communications in particular, there is a risk that content may be falsified, taken out of context or deliberately used to mislead. Furthermore, deepfakes increase the effectiveness of social engineering attacks, as they exploit human trust.
What can organisations do?
Clear organisational measures are essential: staff should be made aware of typical patterns of manipulation. Suspicious enquiries and content should always be verified via a second channel. Clear verification and escalation processes, together with an open security culture, help to identify uncertainties at an early stage and prevent damage.
Our white paper “Deepfakes in the Workplace: Understanding the Risks and Taking Effective Action” provides concise and precise guidance. You will learn
Your contacts
Christian Nern
Partner, Financial Services, Head of Cyber Security Solution
KPMG AG Wirtschaftsprüfungsgesellschaft
Ralf Eduard Defort
Senior Manager, Consulting - Cyber Security & Resilience
KPMG AG Wirtschaftsprüfungsgesellschaft
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