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Discussion so far has largely centered around political deepfakes by bad actors looking to influence democracies.
Now, the concern is around deepfakes impacting organizations or people through financial fraud.
Deepfake-augmented phishing and impersonation scams, however, are something that businesses are not prepared for.
Head of AI and ML at Sumsub.
Every stakeholder, at every step, must view information with a new found skepticism.
and how out of the ordinary is this request?
Training:This new found skepticism must be a company wide approach.
From the C-Suite down, and across to all stakeholders.
Training should help establish this new way of thinking.
One person may not spot an error or inconsistency that someone else does.
Biology:This may be the most obvious, but keep in mind natural movement and features.
Although deepfakes will become more sophisticated and realistic over time, they are still prone to inconsistencies.
Software programs also exist which can make someones screen flicker in a unique and unusual way.
If the video doesnt properly mirror the light pattern, you know its a generated video.
Tech:AI is aiding fraudsters, but it can also help stop them.
Although these are not foolproof, they are an essential arsenal to help establish reality from fiction.
We’ve featured the best online cybersecurity course.
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