Tag: RelyComply
What’s the innovation impact of regulatory sandboxes?
A regulatory sandbox is a controlled environment where businesses can test innovative products, services, or business models under relaxed regulatory requirements while ensuring consumer...
How can RegTech help ensure ethical AI compliance?
With the use of artificial intelligence by businesses and individuals alike exploding across the world, one of the biggest challenges going forward that is facing the industry is to ensure that AI remains ethical and well structured. How can RegTech help in this battle?
The future of KYC: how banks can navigate compliance and risk...
In 2025, Know Your Customer (KYC) solutions will become essential for financial institutions looking to enhance their anti-money laundering (AML) frameworks. With increasing regulatory scrutiny, sophisticated financial crimes, and growing customer expectations for seamless onboarding, the sector is witnessing a shift towards decentralised identity (DCI) and perpetual KYC (pKYC). T
Is 2025 the year of the Chief AI Officer?
As artificial intelligence (AI) continues to reshape the financial sector, many institutions are grappling with how best to govern, oversee, and integrate this transformative...
Key compliance changes in South Africa’s AML/CTF Amendment Bill for 2025
In December 2024, the South African Treasury published the draft AML and CTF Amendment Bill, which is now open for public comment.
The top 6 RegTech trends shaping regulatory compliance in 2025
The RegTech sector has gained significant traction in the financial industry over the past few years, with global adoption accelerating. According to market projections, the RegTech market is expected to hit $25.19bn by 2028, driven by financial institutions’ need to navigate mounting regulatory pressures.
How can AI help governments and firms save money on economic...
In the area of economic crime, what role could AI play in bringing down the highly burdensome costs?
What is the role of federated learning in RegTech?
Federated learning is a ML technique that enables multiple entities to train a model together while keeping their data decentralized.
What are the challenges and opportunities for real-time AML compliance?
With the challenges of financial crime increasing with an ever-growing digital presence for firms and threat actors alike, there is a growing desire in the industry for more real-time management of such threats. What are the challenges and opportunities for such technologies?
The key challenges for machine-readable and executable regulation
There is growing discussion around the role of machine-readable and executable regulation in the financial industry.










