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“ Three years ago , deepfake attacks were only 0.1 % of all fraud attempts we detected , but today , they represent around 6.5 %, or one in 15 cases . This represents an increase of 2137 % in the last three years , which is alarming . Fraudsters are using AIbased techniques that traditional systems can no longer fully detect . Organisations should consider advanced detection systems that combine AI , biometrics and identity verification to protect against these threats ,” said Pinar Alpay , Chief Product and Marketing Officer at Signicat .
“ A multiple detection setup is crucial . By combining early risk assessment , robust identity verification and authentication methods based on facial biometrics , and ongoing monitoring , companies can better protect both their operations and their customers . Orchestration of these tools in the optimal combination is the essence of a multilayered protection .”
The steep rise in deepfake fraud is part of a broader trend of AI-driven identity fraud , as cybercriminals increasingly leverage advanced technologies to exploit financial systems . Signicat ’ s report makes an urgent call to action for financial institutions
and businesses alike to proactively strengthen their cybersecurity measures .
By updating fraud detection systems , improving employee and customer awareness , and investing in AI-based fraud prevention solutions , organisations can stay ahead of these rapidly evolving threats and protect both their operations and their customers .
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