Tag: AI Compliance

Navigating regulatory compliance remains one of the most challenging tasks for businesses operating today, especially in the UK. Companies are under increasing pressure to...

A report from Global Relay has revealed significant regional disparities in the adoption of AI for compliance in the financial services sector.

Unbound, a cybersecurity startup helping enterprises safely adopt generative AI tools, has raised $4m in an oversubscribed seed round.

Agentic AI automation, a new wave of AI-powered technology, is attracting significant interest across the tech sector—particularly in financial services. But what exactly does...

Sydney-based RegTech startup Haast has raised $6m in seed funding to expand its AI-powered compliance platform, with plans to enter the US market already underway.

As AI adoption accelerates across compliance and risk management, understanding the difference between genuine AI solutions and traditional software is critical. Shwetha Shantharam, AVP and product head at 4CRisk.ai, offers expert guidance on evaluating vendors to ensure organisations invest in future-ready technology.

Responsible AI encompasses the ethical development and application of artificial intelligence, prioritizing transparency, fairness, and legality across its operations. For the financial sector, this means deploying AI technologies that are not only efficient but also equitable and devoid of biases, ensuring that individual rights are respected throughout their lifecycle.

Tietoevry Banking and Version 1 have announced a strategic partnership aimed at accelerating the digitalisation of European financial institutions. By combining Tietoevry Banking's robust SaaS offerings...

Notice Ninja, a tax compliance SaaS platform, has raised $500k in a seed funding round from an existing investor.

The growing adoption of artificial intelligence (AI) in governance, risk, and compliance (GRC) programs is reshaping how organisations manage regulatory requirements. Specialised language models (SLMs) are emerging as a more secure and efficient alternative to large language models (LLMs) like ChatGPT and Gemini Pro, addressing critical concerns related to data privacy, accuracy, and control.