Organisations can ’ t afford to ignore the resulting attack methodologies and how facial biometrics have distinguished themselves as the most resilient solution for remote identity verification . for survey respondents , in the following order : password breaches ( 64 %), ransomware ( 63 %), phishing / social engineering attacks ( 61 %) and deepfakes ( 61 %) .
AI ’ s not all bad
There are many different types of deepfakes but they all have one common denominator : they are created using Generative AI tools . Organisations recognise that Generative AI is innovative , secure and reliable , and helps them to solve problems . They view it as more ethical than unethical and believe it will have a positive impact on the future . And they ’ re taking action : just 17 % have failed to increase their budget in programmes that encompass the risk of AI . Additionally , most have introduced policies on the use of new AI tools .
Biometrics leads the charge against deepfakes
Biometrics have emerged as the solution of choice by organisations to address the threat of deepfakes .
Organisations stated that they are most likely to use facial and fingerprint biometrics however , the type of biometric can vary based on tasks .
For example , the study found organisations consider facial to be the most appropriate additional mode of authentication to protect against deepfakes for account access / log-in , personal details account changes and typical transactions .
Software is not enough
It ’ s clear from the study that organisations view biometrics as a specialist area of expertise with nearly all ( 94 %) agreeing a biometric security partner should be more than just a software product .
Organisations surveyed stated that they are looking for a solution provider that evolves and keeps pace with the threat landscape with continuous monitoring ( 80 %), multi-modal biometrics ( 79 %) and liveness detection ( 77 %) all featuring highly on their requirements to adequately protect biometric solutions against deepfakes .
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