Compliance

Federated learning (FL) is a revolutionary machine learning technique that has emerged as a powerful tool for enabling multiple entities to collaboratively train models while keeping their data decentralized. This approach is especially relevant in the realm of regulatory technology (RegTech),

Hong Kong lawmakers are set to deliberate on a groundbreaking piece of legislation next Wednesday, marking a pivotal step towards fortifying the region's cybersecurity defenses. The Protection of Critical Infrastructures (Computer Systems) Bill, gazetted last Friday, aims to establish a legal

In 2024, the landscape of data privacy regulations in the United States saw significant developments, particularly in the realm of artificial intelligence (AI). However, this surge in AI-related legislation has cast a shadow over efforts to regulate biometric data privacy comprehensively. As we

In an era where financial institutions demand cutting-edge solutions that marry innovation with stringent regulatory compliance, Pints.ai has launched a groundbreaking platform known as Autothought. This platform, designed with a privacy-first approach, is set to transform insurance workflow

In an era where technological advancements are reshaping industries, the partnership between Fadata and FRISS introduces a groundbreaking approach to risk management and fraud detection in the insurance sector. The integration of Fadata's INSIS platform with FRISS's advanced compliance,

In an industry traditionally known for its cautious and risk-averse nature, the growing influence of data and technology is undeniably transformative. According to Sierra Signorelli, CEO of Commercial Insurance at Zurich, leveraging advanced data analytics and technology is becoming essential in