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What began as a tool for basic automation has evolved into a powerful intelligence layer, quietly reshaping how we fight fraud, route transactions, and deliver seamless, personalised payment experiences. Real-Time FraudDetection: Defence at Machine Speed Traditional fraud systems rely on static rules and after-the-fact analysis.
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.
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.
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.
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.
The technology combines robust security features with advanced frauddetection capabilities including as deepfakedetection. Also in January, the company streamlined its Public Key Infrastructure (PKI) with the launch of PKI Hub , which provides visibility, management, and automation for cryptographic assets.
Justin Clements Director of PR and media relations, Chargebacks911 "As fraud becomes increasingly sophisticated, payments leaders must shift from reactive controls to intelligent, pre-emptive strategies. Organisational resilience depends on automation, orchestration and the ability to act before damage occurs.
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.
This scale of first-party fraud highlights how traditional frauddetection methods struggle to distinguish between legitimate customer accounts and those engaging in fraudulent behaviour. AI-driven scams leverage sophisticated attacks from phishing emails to deepfake videos and voice impersonations.
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.
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.
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. Her words landed with weight.
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.
Automated bot attacks on social media surged dramatically in the second quarter of 2024, according to AU10TIX ’s latest Global Identity Fraud Report. 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
This article explores the top 5 fraud trends impacting high-risk merchants in 2025 and how innovative solutions like avoided.io can safeguard your business with real-time chargeback prevention and fraud management. helps: Near real-time frauddetection: By leveraging combined alerts from Ethoca and Verifi, avoided.io
The panellists described a troubling evolution: traditional scams being supercharged by artificial intelligence. “Real-time deepfakes have moved beyond theoretical concerns,” explained David Sutton, chief innovation officer at Featurespace. “Model-based approaches for frauddetection have been around for a long time.
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?
The integration will bring automated crypto transaction monitoring and secure data storage, as well as ensure regulatory compliance. This will enhance regulatory compliance and secure data storage, as well as provide automated crypto transaction monitoring for Chainalysis’ clients.
At the heart of its mission was the need for an automated verification system. With rapid advancements in its multi-currency swaps and crypto payment services, dtcpay had to future-proof and automate verification processes. Our technology in behavioural fraud analytics sets us apart in frauddetection. Why Sumsub?
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’s capabilities, like machine learning algorithms, are being trained to identify and exploit vulnerabilities, automate phishing attacks and bypass traditional security measures. Learn More Sources : 1.
Continued investment in innovative frauddetection technologies and adaptive regulatory frameworks is essential to stay ahead of evolving financial crime threats. A majority are focusing on machine learning and AI, cited by 58.94%, along with digital identification verification systems (45.70%) and automation of key processes (44.37%).
The Changing Face of Fraud In what many describe as an “unpredictable era,” lenders are collectively challenged to stay ahead of increasingly sophisticated fraudsters. 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.
STACK implements various behind-the-scenes procedures — tokenization, identity verification and automatedfrauddetection, for example — and provides customer-facing options that give users a sense of control and transparency.
AI Generation in Adult Industry Content Automated content creation. 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.
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.
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