FEATURE : NETWORK SECURITY
Mario Cesar Santos , VP Global Solutions , Aware , discusses the rise of deepfakes and how they can be exploited by malicious actors .
The rise of deepfakes significantly threatens people and businesses through videos and images created by Artificial Intelligence . Fraudsters and cybercriminals are finding applications for data breaches to generate deepfakes that have the potential to cause widespread damage .
By exploiting the credibility and authenticity of these fraudulent media , deepfakes can deceive , manipulate and defraud organizations and their customers . Understanding how deepfakes can be used against your customers is crucial for companies to develop effective strategies to mitigate their impact and protect against their misuse .
The term ‘ deepfake ’ originates from the combination of ‘ Deep Learning ’ and ‘ fake ’. Although it does not have a universally accepted definition , a deepfake generally means that a person present in existing content is replaced by the image of another person . Essentially , a deepfake is content like a photo , audio or video that has been manipulated by Machine Learning ( ML ) and Artificial Intelligence ( AI ) to appear as something it is not .
Although deepfakes have garnered attention for their entertainment and creative value , they also present
How to protect biometric systems against deepfakes
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