end-point
ANALYSIS
Individuals and organisations need to be aware of these risks and take the necessary steps to protect themselves , such as using strong authentication methods ( like biometrics ) and being highly cautious with this type of manipulated media . For consumers , this means choosing vendors and solutions that consider these threats and offer robust protection against them . For business leaders , it is essential to consider these concerns and take necessary actions to protect customers and their businesses .
Although deepfakes have garnered attention for their entertainment and creative value , they also present serious risks to businesses .
One such action includes integrating biometric authentication technology into existing solutions and offerings . How does biometrics help defend against deepfakes ? Let ’ s list the main possibilities :
• Liveness detection : This is a crucial component of biometric authentication that helps ensure the authenticity of captured biometric data . This technology is designed to detect whether a biometric sample , such as a facial image or voice recording , comes from a living person or a reproduction , manipulation or deepfake . Liveness detection algorithms analyse various factors , such as the presence of natural movements in a facial image or physiological signs in a voice recording , to determine if the biometric data is from a living person . These algorithms also protect against injection or emulation attacks . When it comes to deepfake threats , liveness detection is essential to prevent malicious actors from using static images or pre-recorded videos to spoof biometric authentication systems . By verifying the liveness of the person providing the biometric
Mario Cesar Santos , VP Global Solutions at Aware
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