Learn how AI fraud detection protects iGaming platforms from bonus abuse, account takeovers, payment fraud, and AML risks.

The AI-driven fraud analytics framework operates across multiple areas to identify suspicious patterns in real time.

From fraud detection to back-office automation and payments optimisation to enhancing credit risk and underwriting, here’s ...

Explore PPDAI Group fintech operations, digital lending platform, AI-driven credit technology, consumer finance services, ...

Standing still is the same as going backwards.’ Here’s how the best security engineers keep on top of the latest risks and ...

Banks and e-wallets may use AI to help make decisions, but the central bank says they must use 'well-prepared and ...

For Canadian consumers, the message emerging from recent research is clear: artificial intelligence is becoming an important ...

Generative AI has transformed once-specialized attacks into assembly-line operations, including account takeovers (stealing ...

Artificial intelligence is rapidly reshaping how Nigerians shop, with nearly nine in 10 consumers now using AI-assisted tools ...

South Africa’s fraud detection tools struggle to keep pace as iGaming scams tripled in 2025 amid a shift to AI-based scams.

From workflow automation agents to domain-specific AI copilots, Snowflake’s hackathon challenges developers to shape the next ...