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

Key opportunities in AI asset management include adoption of AI-driven platforms, demand for real-time asset visibility, integration with blockchain, and sophisticated fraud detection solutions.

New research from global AI-first cloud communications platform Infobip reveals a growing surge in AI-powered fraud and enterprise defenses. Analyzing billions of interactions globally, Infobip’s 2026 ...

India's AI hiring boom is expanding beyond IT as banks, retailers and manufacturers recruit AI talent to drive productivity ...

Artificial intelligence is no longer a futuristic concept reserved for tech giants and research labs. In 2026, AI has become ...

Nearly 59 per cent of fintechs surveyed rated reputation and brand damage as a high-severity risk, ahead of infrastructure, competition and data privacy concerns ...

South Africans who sign up to use a banking app must immediately undergo a series of near-simultaneous identity verification ...

By Juliet Umeh Days when pictures and videos were considered unquestionable proof are over. Artificial Intelligence, AI, has ...

Artificial Intelligence (AI) is transforming industries by automating processes, improving decision-making, and enhancing ...

Spread the love“`html In a remarkable turn of events, North American startup funding has shattered records in the first half ...