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A recent study by Jumio , a provider AI-driven identity verification and compliance solutions, has found that a significant majority of Singapore consumers are concerned about the impact of deepfakes on the upcoming elections. It revealed that 83% of Singaporeans are concerned about for AI and deepfakes in politics, compared to 75% globally.
In the contemporary digital world, the proliferation of deepfake technology and generative AI heralds an era fraught with online scam challenges, notably within the financial sector in Asia. Economic Ramifications of Deepfake Scams The global impact of impersonation scams can be far-reaching, and expensive.
However, this powerful technology has also been exploited by malicious actors to create deepfakes – highly convincing simulations of individuals saying or doing things they never actually did. Deepfakes have since evolved into a formidable challenge for conventional identity verification methods.
Episode 210 – Richard Weston, Tuum Greg Palmer catches up with Corsound AI CEO Gal Haselkorn to discuss cutting-edge developments in voice intelligence and deepfake detection. Demo video. Episode 209 – Gal Haselkorn, Corsound.ai Episode 209 – Gal Haselkorn, Corsound.ai
Fraudsters are exploiting GenAI tools such as large language models (LLMs), voice cloning, and deepfakes to carry out increasingly sophisticated scams that are harder to detect and prevent. Romance fraud: Deepfake images and videos help fraudsters create convincing personas to manipulate victims emotionally and financially.
The acquisition will enhance LexisNexis Risk Solutions’ ability to combat emerging threats such as AI-generated fraud and deepfakes. “AI-powered solutions are necessary to counter the threat of AI-generated fraud attacks, including deepfakes,” said Rick Trainor, CEO of Business Services for LexisNexis Risk Solutions.
Fighting deepfake-enabled fraud As synthetic media such as deepfakes increasingly impact digital identity, verifying customer identities has become crucial to prevent fraud and remain complaint. In the near-future, coverage of GAV will expand to 80 per cent of G20 countries.
Cohn believes regulation will impose stricter requirements for organisations to assess and mitigate the potential for algorithmic bias in AI-powered payment systems. The potential for misuse of AI in creating deepfakes or facilitating fraud adds another layer of ethical complexity.
AuthID has published a whitepaper examining the growing risks posed by deepfake technology in digital authentication and outlining strategies to mitigate these threats.
Frederic Ho, VP, Asia Pacific, Jumio “However, with the rise of advanced deepfake and face-swapping technologies, relying solely on biometric identity verification is no longer adequate. Malicious actors can now create highly convincing videos, images, or audio recordings with these tools.
This increase was driven by fraudsters leveraging sophisticated techniques, such as fraud networks, phishing scams and AI-generated deepfakes, to trick victims into authorising payments. Mitigating APP fraud While refunds provide some level of protection for individuals, they are perceived as a constant burden for financial institutions.
Proactive fraud prevention today not only mitigates risk, but also future-proofs operations against costly penalties.” . “With increasingly sophisticated fraud tactics on the uptick, organisations must prepare for stricter AI and compliance rules.
From the challenge of AI-powered deepfakes to the sad fact that many of our own bad habits continue to keep fraudsters in business, fintechs are busy developing solutions to help us get and stay at least one step ahead of the bad guys. The battle against fraud is a never-ending one. “Identity verification isn’t a one-time event.
Collaboration between regulators, law enforcement, and the counter-fraud community is needed to ensure the effectiveness of the reimbursement scheme and to mitigate emerging fraud risks. With a wealth of AI and deepfake technology at their fingertips, even the most novice of criminals can perpetrate sophisticated fraud.
Though the tactic is unusual, cybersecurity experts warn the strategy could signal an increasing use of so-called “deepfake” technology to infiltrate systems and steal company cash. In response, Agari said solution providers must evolve their technologies to mitigate this risk even after cybercriminals have infiltrated a supply chain.
What was heralded as high security due to a reliance on unique biological characteristics is now facing challenges from emerging fraud technologies such as spoofing and deepfakes. The rise of deepfake technology presents another significant threat to biometric authentication systems. Take proactive steps to ensure business continuity.
Deepfakes, synthetic identities and account takeover fraud are growing threats that require advanced identity proofing and risk assessment. Socure’s predictive machine learning models coupled with Trustly’s Open Banking authentication and data mitigate these emerging risks.
The urgency to manage AI-related identity risks, including deepfakes , is low in the UK with around one third (35 per cent) already having a strategy in place to manage threats of this nature. This was the lowest rate of confidence felt globally compared to 48 per cent of U.S. respondents saying the same.
The system can discern real individuals from static visuals, or people using deepfake technology to impersonate another user. Benefits of Liveness Detection The dawn of deepfakes and sophisticated spoofing has necessitated advanced countermeasures. This is where liveness detection truly shines.
Both fields are defined by their abilities to predict, prevent and mitigate risks. AI can generate synthetic identities, create deepfakes and lead other persuasive and difficult-to-detect social engineering tactics. It necessitates a proactive and forward-thinking approach to anticipating and mitigating future threats.
For instance, fraudsters now leverage innovative technologies to create deepfakes, bypassing traditional identity verification methods like document ID checks and biometrics. Lenders are now focusing on alternative data signals to mitigate risk without excluding valuable customers.
Source: Telefonica AI companies are often classified high-risk for several reasons: Potential for Misuse: Generative AI, a subset of AI that creates content such as text, images, or videos, includes the ability to generate deepfakes, counterfeit documents, or misleading content poses ethical and legal concerns.
Nicolas Dinh, chief operating officer at payment app startup STACK, spoke with PYMNTS about how synthetic IDs are a major threat and how FIs can mitigate risk. Hackers can use falsified videos to challenge today’s liveness tests, so companies need to keep improving their detection methods to stop deepfakes and other new types of fraud.
The verification platform also recorded significant surges in identity fraud in: Singapore (207 per cent) Indonesia (205 per cent) Thailand (201 per cent) Meanwhile, deepfake fraud saw a 194 per cent YoY spike in APAC and increased four times globally, now making up seven per cent of all fraud attempts in 2024.
“I could spot an AI deepfake easily.” Both US and UK consumers were tested, being told to examine a variety of deepfake content, including images and videos. “And even when people do suspect a deepfake, our research tells us that the vast majority of people take no action at all.
The scalability offered by FaaS models further amplifies the issue, enabling fraudsters to launch a higher volume of attacks and making it even more difficult for businesses to detect, prevent, and mitigate fraud effectively.
Fraud rates have taken off globally, particularly in Europe, where deepfake fraud incidents have risen by 142% between 2023 and 2024. Sumsubs internal data shows that deepfakes are present in 7% of all fraud cases globally.
Criminals are becoming increasingly sophisticated, employing tactics such as generating fake IDs, using deepfake images and video, and mimicking human movements to deceive detection systems, says Roussel. Jimmy Roussel, COO at ID verification provider IDScan. net, says criminals have seized upon AI to take their schemes to the next level.
Fraudsters are continuously finding new sophisticated ways of leveraging AI to carry out cyber threats, with traditional fraud prevention methods, which rely on fixed rules and human intervention, being no longer sufficient to detect and mitigate the complex and evolving tactics used by fraudsters.
This type of reserve helps mitigate chargeback risks while ensuring a steady cash flow over time. The team at Evolve Payment works with several different processing partners, as well as multiple credit and risk departments, to find a solution for our customers to mitigate this underwriting requirement.
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