The most convincing media you see online could be an AI-generated fake. Last May, nefarious marketers used deepfake tech to steal the likenesses of famous people, running ads online and making it ...

Users can log in to free apps like Google Gemini or ChatGPT and create realistic-looking, fraudulent documents — such as fake ...

Digitalisation has rapidly changed the face of industry and business. Businesses have increasingly integrated modern technologies into their operations to improve real-time activity. However, ...

Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase in volume and complexity, banks require intelligent systems that can assess risk with ...

Identity, fraud prevention, trust, and safety have become defining challenges of the modern digital economy. Every day, fraud professionals and risk ...

Last year, Deloitte, a financial auditing and consulting firm, reported an instance where a Hong Kong company sent USD 25 million to a fraudster who was using deepfake technology to impersonate the ...

In the rapidly evolving digital landscape of 2026, the battle between cybercriminals and security experts has shifted to a new frontier: Data. As financial tech ...

As law enforcement agencies around the world grapple with deepfakes, more tools to protect businesses are joining the arsenal of available defenses.

In 2026, business leaders, especially in the finance sector, face an increasingly threatening fraud landscape shaped by generative AI. In fact, Deloitte estimates losses from fraud for US banks is ...

Markets move in milliseconds — humans don’t. AI & ML close the gap between market speed and human decision-making.

On-call was built on a false assumption: that humans are the fastest way to interpret failure. That assumption collapsed the moment production systems began making economic decisions continuously. In ...