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Attack vectors across the banking, financial services and insurance industry operations, Source: Digital Threat Report 2024, CERT-In, CSIRT-Fin and SISA Phishing attacks surge In H1 2024, cybersecurity firm Kaspersky recorded more than 135,000 phishing attacks targeting Indias financial sector. Approximately 1.1
The article explores the growing threat of AI-enabled fraud in the payments sector and how firms can combat it with advanced technologies. It highlights the urgent need for payments firms to address AI-driven fraud to protect financial security, maintain customer trust, and comply with regulations. Why is it important?
How GenAI is changing the fraud landscape AI-driven fraud is not a new concept, but the accessibility and capabilities of GenAI have dramatically expanded fraudsters’ arsenals. Phishing attacks: AI-generated content enables fraudsters to create highly personalised and convincing phishing emails that bypass traditional detection methods.
The payment ecosystem is grappling with a rapidly evolving fraud landscape, characterized by a sharp rise in purchase return authorization (PRA) attacks, increasingly sophisticated ransomware schemes and the growing misuse of artificial intelligence (AI) by cybercriminals, a new report by Visa Payment Fraud Disruption (PFD) says.
Phishing continues to be one of the most prevalent scams affecting both consumers and businesses. Even in a highly secure payment environment with the widespread adoption of multi-factor authentication (3DS), phishing remains a major concern. Below are the most common types of fraud found now.
The team brings together experts from law enforcement, military intelligence, and data visualisation, combining human insight with advanced AI tools to track and dismantle fraud networks. Scammers sent phishing links disguised as legitimate verification sites via dating platforms, enrolling victims in recurring billing cycles.
The report highlights a 76 per cent surge in phishing attempts and a 42 per cent increase in fake IDs and suspicious biometric transaction detections, signaling a shift towards more sophisticated fraud methods. The use of deepfake technology and generative AI is also on the rise, compounding the threat range.
AI-enhanced attacks are on the rise, leaving many organisations’ cybersecurity unprepared for the volume of new challenges; reveals cyber protection firm, Acronis , in its latest cyber threats report. In fact, it found that AI-enhanced phishing affected 91.1 The post 91.1%
HPS , a leading global provider of payment software and solutions, and Enigma , a global leader in artificial intelligence enabled entity resolution and decision-making, today announced a strategic collaboration to deliver cutting-edge AI fraud detection models to businesses worldwide.
Traditional phishing attacks on email are easier for most users to spot, causing crooks to migrate to new venues, argues The ai Corporation's James Crawshaw.
billion people send around 269 billion emails every single day – this type of online communication is vulnerable to phishing attacks. Recent research indicates 30 percent of targeted attempts are made via phishing emails, and that 15 percent of victims are repeat targets. This is the area where organizations spend the most as well ($2.26
This strain on resources has largely come as a result of generative AI according to the report. Specifically, 62 per cent of businesses cite generative AI as a key driver behind the surge in invoice fraud according to The Rise in AP Fraud report by Basware.
Technology has given fraudsters new life, and while many are experimenting with new methods of attack, older forms of attack such as phishing have also risen to new highs. Additionally, its infrastructure can be integrated with software wallets, hardware wallets, and AI agents.
According to the new report, AI-powered scams have moved beyond phishing emails to include fake Zoom calls, synthetic videos of public figures, and Trojan-laced job offers. AI has made scams faster, cheaper, and harder to detect. This report is the flagship release within that effort.
AI-generated deepfakes , synthetic identities and hyper-targeted phishing attacks are just some of the cyberthreats on the rise. At SEON , we leverage real-time device intelligence, advanced AI and transparent machine learning rules with human expertise to deliver adaptive fraud prevention.
“Using AI-driven tactics such as deepfake selfies and synthetic identities, organised fraudsters are testing traditional security measures like never before. It says future-proofing means adopting AI-driven validation and multi-layer defences to combat deepfakes, synthetic identities, and emerging threats.
The continued trend of “spear phishing” and “catfishing” only serves to highlight the complex work required to identify genuine from fraudulent, writes Steven Goddard, product manager for risk at The ai Corporation (ai).
Generative AI (GenAI) is emerging within this dynamic environment as a technology that can significantly improve efficiency, fraud detection, and customer engagement. This is where Agentic AI comes in, taking GenAI to the next level by enabling intelligent process automation.
5 minute read In recent years, generative artificial intelligence (generative AI) has emerged as a powerful force reshaping various industries. What is Generative AI? Generative AI is an advanced artificial intelligence technology that creates text and images.
Other Channels Exploited Email services and search engines are targeted via phishing emails and fraudulent ads, redirecting victims to fake websites or impersonated organisations. Other platforms also affected: Search engines and email services are commonly used for phishing schemes and fraudulent advertisements. of total losses.
Developing countries in the Asia-Pacific (APAC) region are embracing generative artificial intelligence (gen AI) at a faster pace than their advanced counterparts, driven by young employees and students, a new survey by Deloitte found. Additionally, employees from developing economies were found to be more enthusiastically embracing gen AI.
Welcome to Edition 59 of The Fintech Times , where we explore how AI is reshaping banking, from boosting efficiency to cutting costs. With around 60% of banks fully integrating AI, the industry faces a strategic divideprioritizing productivity or reducing expenses. Happy reading!
Common types include card-not-present fraud, phishing attacks, and identity theft. Look for features like tokenization, PCI compliance, and AI-powered fraud detection to protect your business and customers. Nearly three-quarters are investing in payment innovations like AI, blockchain, and real-time payments.
Announced by the Monetary Authority of Singapore (MAS) and the Association of Banks in Singapore (ABS), this move aims to better protect customers from phishing scams. Phishing scams were among the top five scam types last year, with at least S$14.2
Cybercriminals are exploiting payout systems with increasing sophistication, using malware, fake identities, and AI-driven phishing attacks to target funds from survey remuneration, loyalty cash-out, incentive programs, commission earnings, and class action settlements.
In my recent blog, “Real talk: The imminent and very real danger of IoT,” I wrote: Due to lack of security features, creating an IoT botnet is a great deal easier than phishing users to compromise PCs. Will the AI hype cycle crash? We should also be wary of irresponsible use of AI. I think the answer is “yes.” Cheers to 2017!
Furthermore, 62% of businesses are using artificial intelligence (AI) to help prevent fraudulent transactions in their stores. PhishingPhishing is one of the most common scam tactics in Singapore. In 2024, phishing scams were the third most concerning type of scam in Singapore. Victims lost a total of S$59.4
This decision aims to fortify the defence against phishing scams, a persistent threat in the digital banking landscape. Despite their benefits in reducing unauthorised access, OTPs have become increasingly vulnerable to sophisticated phishing techniques, where scammers create fake websites to trick users into revealing their OTPs.
consumers have been targeted by fraud attempts related to the virus, such as phishing emails claiming to be guidance on how to avoid infection that actually contain malware. AI-based cybersecurity systems could be the answer to balancing security and seamlessness, but fraud prevention experts are raising questions about their effectiveness.
The good news is that innovations in the AI space are making chargeback prevention a much more manageable prospect. Why are AI tools especially effective at fighting fraud? AI isn’t just a buzzword in cybersecurity. First, AI tools have much higher throughput than manual or non-software-based detection methods.
A shift toward AI-driven, integrated fraud management systems aligned with tightening UK regulations. Technology is evolving—But not a silver bullet AI-powered defences are advancing rapidly, from intent-based detection to behavioural biometrics. Generative AI and biometrics, including behavioural biometrics, offer massive potential.
That’s where applied artificial intelligence (AI), such as machine learning, comes in. AI has become an essential tool for Visa in identifying the needle in the haystack: the attempted piece of malware or malicious code buried among the billions of normal events. But finding the signal in this noisy data is a challenge.
Other Channels Exploited Email services and search engines are targeted via phishing emails and fraudulent ads, redirecting victims to fake websites or impersonated organisations. Other platforms also affected: Search engines and email services are commonly used for phishing schemes and fraudulent advertisements. of total losses.
Generative AI, when used correctly, can be a great tool that aids innovation. A new survey from iProov , the biometric solutions provider, has revealed the attitudes on the threat of generative AI and deepfakes across the UK, US, Brazil, Australia, New Zealand and Singapore. AI: friend or foe?
Identifying fraud in the age of artificial intelligence (AI) is much harder than it ever has been before. Fraudsters are more cunning and deceiving, taking advantage of those who either do not know or refuse to acknowledge the power of AI. What are some AI fraud trends we’re seeing in Latin America?
Recent phishing and fraudulent cases involving multiple banks in Singapore have highlighted the severity of this issue and the urgent need for banks to enhance their security measures. DBS isn’t the only bank making news for phishing scams. US$129,841). Losses exceeded S$13 million (US$9.59
The rise of artificial intelligence (AI) has brought about significant advancements across various sectors, including fraud. New and more complex cybersecurity threats have emerged, leading to phishing, vishing, account takeovers (ATO), synthetic identity fraud, and more.
These variants are distributed through various channels, including email attachments, compromised websites, and phishing attempts. When it comes to new threat detection and classification, real-time AI capabilities can be game-changing. Cleafy’s AI technology was trained on eight years of malware telemetry data.
Major retail banks in Singapore will progressively implement Singpass Face Verification (SFV) over the next three months in a concerted effort to bolster security against phishing scams.
19), Jigsaw will soon release a set of tools called Conversation AI — software that will use machine learning to automatically identify abusive or harassing language. Jigsaw engineers said the accuracy of the AI technology is better than any team of human moderators or keyword filters. “I As Wired reported on Monday (Sept.
Cybersecurity has become a critical challenge, and artificial intelligence (AI) is emerging as a transformative solution. We explore the role of AI in enhancing cybersecurity within fintech, highlighting its capabilities, limitations, and potential future applications. AI is a game-changer in combating financial fraud.
The risks range from phishing and account takeovers to ransomware and insider threats. It ensures trust in the system, reduces downtime, and meets increasingly strict regulatory standards. Why Finance Needs It Financial institutions are frequent targets for cybercrime. Attackers pursue data, funds, and access to infrastructure.
They predict that social engineering attacks will surpass ransomware in 2024 due to increased sophistication, AI tools and emerging techniques, leading organisations to bolster cybersecurity defences with AI, scenario testing and multi-factor authentication. Take company-wide training to identify phishing attacks for example.
Usually following a data breach, these attacks rely on phishing or other schemes to steal a business’ or individual’s account information — including address, name and payment details — to make a purchase. An AI-Assisted Approach. Account takeovers have skyrocketed in recent months, as a flood of consumer records have hit the dark web.
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