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Financial institutions are looking to deepfakedetection solutions in their fight against the growing threat of generative AI-driven fraud. The growing deepfakedetection market is expected to be a $15.7 billion industry by 2026, according to consultancy firm Deloitte.
LexisNexis Risk Solutions, a global data and analytics company under RELX, has agreed to acquire IDVerse , a provider of AI-powered document authentication and frauddetection solutions. This move will enable LexisNexis Risk Solutions to further enhance its capabilities in combating AI-generated fraud, including deepfakes.
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.
The integration of Sumsub’s compliance solutions will help financial institutions deal with the growing threat of fraud and financial crime. This includes a global, fourfold increase in AI-driven deepfake scams. This will enable them to onboard customers faster and comply with international KYC/AML regulations.
Dan Yerushalmi , CEO of AU10TIX “FaaS has elevated cybercrime, enabling a whole cohort of the population to join in on global fraud by launching large-scale attacks involving up to over 8,000 incidents,” explained Dan Yerushalmi , CEO of AU10TIX.
These AI-created images, videos, and audio content, called deepfakes, showcase how advanced AI generation tools have become. AI deepfakes often have convincing video and voice manipulation, making them increasingly difficult to identify–and this technology is only becoming more advanced and easily accessible.
The dual impact of generative AI on payment security, highlighting its potential to enhance frauddetection while posing significant data privacy risks. From frauddetection to customer support, AI-driven solutions are revolutionising how payments are processed and safeguarded. What is this article about?
According to a recent report by the National Crime Agency (NCA), GenAI represents one of the most substantial threats to the fraud landscape today. 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.
In response to the growing threat of deepfake technologies, Ant International has also developed an advanced anti-deepfake electronic Know Your Customer (e-KYC) tool. This system, which has a detection success rate exceeding 99%, was developed over two years to counter AI-assisted fraud and bolster transaction security.
LexisNexis Risk Solutions has signed an agreement to acquire document authentication and frauddetection solutions provider IDVerse. The acquisition will enhance LexisNexis Risk Solutions’ ability to combat emerging threats such as AI-generated fraud and deepfakes. Terms were not disclosed.
The financial sector is facing an unprecedented surge in AI-driven fraud, with deepfake-related attacks increasing by a staggering 2,137% over the past three years. of all fraud attempts detected in the financial sector now involve AI-generated forgeries, with deepfakes leading the charge.
Identity proofing and frauddetection company AuthenticID launched a new solution today to detect deep fake and generative AI injection attacks. This works to bypass traditional frauddetection and identity verification methods.
AI-powered automated document authentication and frauddetection solutions provider, IDVerse is set to be acquired by data and analytics platform, LexisNexis Risk Solutions and become a part of LexisNexis Risk Solutions Business Services to combat AI-generated fraud.
LexisNexis Risk Solutions, part of RELX, has completed its acquisition of IDVerse , an AI-driven identity verification and frauddetection provider. IDVerse’s self-learning AI will contribute to more efficient and faster frauddetection model updates and improved accuracy in identity verification.
An AI Arms Race The emergence of AI has added a new dimension to this battle, with both scammers and fraud prevention efforts leveraging advanced technologies. The use of deepfakes and chatbots by fraudsters poses significant challenges, while real-time frauddetection systems are being enhanced to counter these threats.
AI-powered fraud-as-a-service (FaaS) platforms have enabled these mass-scale attacks, contributing to APAC now holding the highest global fraud rate, with 3.27 Bots and deepfakes The rise of bots using deepfake technology to create convincing fake profiles poses an additional challenge.
Schick also discusses use cases for Generative AI in financial services and the threat posed by AI-powered deepfakes. An author, advisor, and keynote speaker, Schick is an expert in synthetic media, deepfakes, disinformation, cybersecurity, and the geopolitics of technology.
According to the Payment Systems Regulator (PSR) , the volume of APP fraud cases rose by 12% last year. 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.
The battle against fraud is a never-ending one. 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. ” Alex Shootman is CEO.
The move comes as Deloittes Center for Financial Services warns that fraud losses driven by generative AI could reach $40 billion in the US alone by 2027. The rising sophistication of AI-generated deepfake images and videos poses an increasing risk to the payments industry, making advanced frauddetection more critical than ever.
Fraudsters are leveraging artificial intelligence (AI) tools like voice cloning and deepfakes to create highly convincing fake audio or video messages to deceive victims into transferring money or revealing sensitive information. How do the Latin American AI and anti-fraud sectors compare to that of the rest of the world?
Historically, companies have resorted to a patchwork of point solutions and variegated tools across a fraud-fighting tech stack, leading to fragmented data and operational inefficiencies from switching from one solution to the subsequent and obfuscated risk views.
These advancements have changed the way we approach cybersecurity and frauddetection. AI can generate synthetic identities, create deepfakes and lead other persuasive and difficult-to-detect social engineering tactics. Uncover Complex Fraud Patterns Continuously improve your frauddetection with proven AI insights.
The solution gives fraud and risk teams a single tool to manage the transaction monitoring process with provides fewer false positives and more efficient case management. In February, Sumsub launched its deepfakedetection solution for video identification, an industry-first, and made its non-doc verification solution available in the U.S.
A 2021 report from FINCEN revealed that false records and forgery are responsible for more than $45 billion in fraud activity annually. Fraudsters also have become more effective at leveraging AI to deploy deepfakes, synthetic identities, and – in the case of document fraud – falsified records.
First is an expected uptick in utilising AI for more complex processes, like data analysis and frauddetection. “With new technology, however, comes elevated risks, which will lead financial institutions to adapt their strategies to counter these issues such as new types of fraud, deepfakes and advanced phishing schemes.
This includes the development of proprietary technologies such as workflow builders, liveness and deepfakedetection, and mechanisms to adhere to the travel rule. Our technology in behavioural fraud analytics sets us apart in frauddetection.
By combining Socure’s accurate and inclusive identity verification and fraud prevention ID+ platform with Trustly’s guaranteed Pay by Bank offering, merchants can onboard users and process payments in one integrated flow. Trustly, with direct banking integrations, provides instant Open Banking payments with transaction guarantees.
Add in the emergence of deepfake technologies that allow fraudsters to impersonate individuals through manipulated videos or audio, adding an extra layer of authenticity to deceitful tactics, and the landscape of fraud becomes even more difficult to parse.
The rise of artificial intelligence (AI), machine learning (ML) and automation have all added new layers of complexity to fraud prevention at an unprecedented scale. For instance, fraudsters now leverage innovative technologies to create deepfakes, bypassing traditional identity verification methods like document ID checks and biometrics.
STACK implements various behind-the-scenes procedures — tokenization, identity verification and automated frauddetection, for example — and provides customer-facing options that give users a sense of control and transparency.
“This strategic partnership will allow CLOWD9 clients to access both a compelling end-to-end identity solution and an AML screening solution with advanced AI-frauddetection capabilities,” CLOWD9 CEO and Co-Founder Suresh Vaghjiani said.
On the fraud side, the augmented pay-by-bank solution enhances not only KYC compliance, but also frauddetection and ID verification capabilities, which are crucial in today’s era of advanced deepfakes and synthetic identities.
Fighting deepfakes and fraudulent identities – Jumio’s holistic approach to building identity trust” with “Jumio Delivers Adaptive Verification as AI Fraud Projected to Hit US$40 Billion. Hong Kong police recently arrested 27 individuals linked to a deepfake scam that swindled victims out of $46 million.
As payment systems become more digitised and interconnected, the attack surface expands, and the stakes for payments firms to invest in robust, AI-driven frauddetection and prevention systems have never been higher. fingerprints, facial recognition), and behavioural biometrics (e.g., keystroke dynamics or mouse movements).
Referred to as “deepfakes” or “deepnudes,” photos of the faces of real people have been fed into AI algorithms to learn and create realistic images that can be photoshopped into adult videos, making it seem as if the person is performing in those videos. FraudDetection and Prevention.
Within wider AI-driven topics frauddetection was an interesting one, in the session Dealing with AI, Fighting on both sides of Financial Fraud, experts discussed the dual role of AI, both as a weapon for fraudsters and a defence mechanism for financial institutions. Thats the problem. Her words landed with weight.
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