Convera warns that the rise of AI-driven scams poses significant risks to businesses, particularly in the financial sector. Bridget Pruzin emphasizes the importance of recognizing fraud indicators, such as voice cloning and urgent requests for sensitive information, and advocates for proactive education and collaboration to combat these sophisticated threats.

The 2024 Ads Safety Report reveals advancements in AI that are enhancing the prevention of fraudulent ads on Google's platforms. With over 50 updates to their language models, Google has improved enforcement and investigation processes, leading to a significant reduction in scam ads, including a 90% drop in AI-generated public figure impersonation ads after suspending over 700,000 accounts.

Visa's ARIC Risk Hub, utilizing advanced AI technology, has enabled Norway's Eika Group to reduce phishing losses by 90% within a year. The platform creates user profiles to distinguish fraudulent activities and adapts to evolving threats, enhancing fraud prevention for financial institutions globally.

Mastercard is enhancing its fraud prevention measures by leveraging advanced AI technology to detect and mitigate fraudulent transactions in real-time. The new system aims to provide more accurate risk assessments and improve the overall security of digital payments for consumers and businesses alike. Additionally, Mastercard is collaborating with various partners to strengthen the efficacy of its fraud detection tools.

The article discusses the rising trend of employees using advanced AI-generated images to create fake expense receipts, with AI-generated documents accounting for 14% of fraudulent submissions in September 2025. Companies are increasingly relying on AI tools to detect these sophisticated fakes, which have become more realistic and harder for human reviewers to identify. The ease of access to image generation software has lowered the barrier for employees to commit fraud, posing a significant challenge for organizations.

The article discusses the rise in expense fraud facilitated by artificial intelligence, emphasizing the need for skepticism regarding visual evidence in financial claims. It highlights how AI technologies can manipulate data and images, leading to increased challenges in verifying authenticity in expense reporting.