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Deceptive Realities: Unmasking the Threat of Deep Fakes in Cybersecurity
Description
Today we discuss how deep fake videos increase security risks. Topics include: artificial intelligence risks in cyber, new ways to reduce risk of deep fakes, how are deep fakes made, how are deep fake videos made, how are audio deep fakes made, and how is ai making it harder to detect deep fakes.
Takeaways
- Sample deepfakes are played. Can you tell? Over 85% of those tested could not.
- Deepfake technology, created using techniques like GANs, diffusion models, and VAEs, can convincingly substitute one person's face or voice with another's.
- The widespread availability and low cost of deepfake technology make it accessible to both legitimate businesses and threat actors, increasing the threat surface for organizations.
- The potential for deepfakes to manipulate
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