As artificial intelligence (AI) systems become increasingly integral to critical infrastructure and global operations, the need for a unified, trustworthy governance framework is more urgent that ever. This paper proposes a novel approach to AI governance, utilizing blockchain and distributed ledger technologies (DLT) to establish a decentralized, globally recognized framework that ensures security, privacy, and trustworthiness of AI systems across borders. The paper presents specific implementation scenarios within the financial sector, outlines a phased deployment timeline over the next decade, and addresses potential challenges with solutions grounded in current research. By synthesizing advancements in blockchain, AI ethics, and cybersecurity, this paper offers a comprehensive roadmap for a decentralized AI governance framework capable of adapting to the complex and evolving landscape of global AI regulation.

In the age of information overload, professionals across various fields face the challenge of navigating vast amounts of documentation and ever-evolving standards. Ensuring compliance with standards, regulations, and contractual obligations is a critical yet complex task across various professional fields. We propose a versatile conversational AI assistant framework designed to facilitate compliance checking on the go, in diverse domains, including but not limited to network infrastructure, legal contracts, educational standards, environmental regulations, and government policies. By leveraging retrieval-augmented generation using large language models, our framework automates the review, indexing, and retrieval of relevant, context-aware information, streamlining the process of verifying adherence to established guidelines and requirements. This AI assistant not only reduces the manual effort involved in compliance checks but also enhances accuracy and efficiency, supporting professionals in maintaining high standards of practice and ensuring regulatory compliance in their respective fields. We propose and demonstrate AuditNet, the first conversational AI security assistant designed to assist IoT network security experts by providing instant access to security standards, policies, and regulations.

Clouds are gathering over swaths of fintech companies, as falling economic growth, rising interest rates and a cost of living crisis put their business models under strain, forcing job cuts and valuation-crushing funding rounds. ComplyAdvantage founder Charlie Delingpole knows his company is not immune to those forces, as fintechs are among the biggest buyers of his financial crime prevention products. In fact, some clients, including crypto lender Celsius Network, have already gone bust. But the business -- which uses natural language processing and artificial intelligence (AI) to run compliance checks on transactions -- is proving more resilient than most, as Russia-related sanctions and a global clampdown on financial crime underpin healthy demand. "We're the last thing they turn off before their server," says Delingpole, a one-time JPMorgan Chase technology banker, of the enduring demand for his company's services from financial groups -- even when times are tight.

Clouds are gathering over swaths of fintech companies, as falling economic growth, rising interest rates and a cost of living crisis put their business models under strain, forcing job cuts and valuation-crushing funding rounds. ComplyAdvantage founder Charlie Delingpole knows his company is not immune to those forces, as fintechs are among the biggest buyers of his financial crime prevention products. In fact, some clients, including crypto lender Celsius Network, have already gone bust. But the business -- which uses natural language processing and artificial intelligence (AI) to run compliance checks on transactions -- is proving more resilient than most, as Russia-related sanctions and a global clampdown on financial crime underpin healthy demand. "We're the last thing they turn off before their server," says Delingpole, a one-time JPMorgan Chase technology banker, of the enduring demand for his company's services from financial groups -- even when times are tight.

Financial services compliance is a big area. Prajit Nanu, CEO of B2B payments platform Nium, says it's in everybody's interest that payment transactions are as frictionless as possible, but many commonly used payment systems carry unnecessary layers of complexity, including when ensuring regulations and compliance. He says automation can help to resolve lags arising from risk and compliance checks, which can be a time-consuming and labour-intensive process, particularly for those dealing with cross region, cross country checks. An automated payment platform appropriately integrated with other business software can perform these checks much more seamlessly. Nanu says: "Digital tools, such as individualised transaction profiles, coupled with the output of machine learning processes, will be able to offer real-time solutions which significantly reduce the time required for risk and compliance checks, while still allowing effective identity verification and fraud detection checks."

Natural Language Processing (NLP) has long played a significant role in the compliance processes for major banks around the world. By implementing the different NLP techniques into the production processes, compliance departments can maintain detailed checks and keep up with regulator demands. All of these areas can benefit from document processing and the use of NLP techniques to get through the process more effectively. Certain verification tasks fall beyond the realm of using traditional, rules-based NLP systems. This is where deep learning can help fill these gaps, providing smoother and more efficient compliance checks. There are several challenges that make the rules-based system more complicated to use when undergoing check routines.

Major brands, such as Target and Home Depot, have fallen at the hands of payment system data breaches over the past couple of years. It's safe to say that after the investigations, consumers were upset at the lack of stringent security systems and protocols in place to keep their data out of malicious hackers' hands. Because of high-profile breaches, the expectation is that the governing bodies will make PCI compliance and regulations even more stringent. Unfortunately, compliance does not equal data security. Compliance checks today are not continuous or automatic, even in the largest of global enterprises.