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Payments players are tapping artificial intelligence to beat back fraud bolstered by AI, and Congress may provide an assist.
Commonwealth Bank of Australia has deployed an agentic AI system designed to help detect emerging fraud and scam patterns in transaction and payments data and generate the rules ne...
As fraud losses mount, organizations across sectors including fintech, e-commerce, and gaming, are accelerating their integration of artificial intelligence (AI) into fraud, risk,...
Every time money crosses a border, something interesting happens behind the scenes. Within milliseconds, dozens of checks run quietly in the background – verifying identities, flag...
Banks process millions of transactions daily, yet traditional AML systems struggle to detect complex financial crime patterns. Despite rising investments, outdated systems and manu...
Ballerine, the AI-native merchant risk and compliance platform, goes live with a new agentic detection solution, Scam & Fraud API Detection, that identifies high-risk merchants...
Cybercriminals are using artificial intelligence tools for larger attacks that target individual victims, the card network said in a fraud report.
The Monetary Authority of Singapore (MAS) is testing AI scam detection models that could help banks flag risks earlier by analysing transaction data from five banks. MAS is working...
Artificial intelligence makes scams easier to fall for and harder to detect. Here’s how to reduce the risk. The post How AI is changing online fraud appeared first on MoneySense.
Companies increasingly rely on artificial intelligence (AI) to streamline workflows, improve efficiency, and perform complex tasks. To date, much commentary on AI risk has focused...
A new TransUnion report found that 1 in 6 Americans lost money to digital fraud last year — and AI tools are making these scams faster, cheaper, and more convincing than ever.
Artificial intelligence (AI) is enabling fraudsters to create highly convincing synthetic identities, and at industrial scale, at that. “This poses a severe and escalating risk to...
Sumsub has launched an upgraded deepfake detection solution that uses machine learning to identify emerging AI-generated fraud threats faster. The Adaptive Deepfake Detector update...
Coinbase has rebuilt its anti‑fraud stack by tightly integrating machine learning models with a high‑speed rules engine, slashing response times to new scam patterns from days to h...
In Australia, nearly 38% of people gamble at least once a week. The problem is that fraud is also on the rise. This means that punters want to be certain their accounts won’t be ha...
How synthetic identities, deepfakes, and generative AI are forcing banks to rethink fraud prevention...
Cybersecurity firms worldwide have sounded alarms about the potential for devastating AI-driven exploits, and Palo Alto Networks warns an overwhelming wave of fraud attacks is immi...
Socure, in collaboration with GovNavigators, has released a report detailing the escalating threat of artificial intelligence in federal fraud. AI is redefining the cybersecurity l...
Insurance fraud continues to rise globally, costing insurers billions of dollars every year. Traditional fraud detection methods often rely on investigating claims after they are s...
When Artificial Intelligence (AI) is used to generate fraudulent documents at scale, the speed of the "bad" process often outpaces traditional human review.
A new F-Secure study warns online scams hit over half of Americans in 2025, as AI-driven fraud grows more efficient and costly.
Online fraudsters are using AI-generated images and videos to try to lure consumers into handing over sensitive data, according to FraudSMART.
[New Report] Fraud in the Age of AI: Trends, Threats, and Management Tactics
How agentic AI reshapes e-commerce fraud, corporate liability, and the new era of adaptive trust.
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