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Daryl Seetoh

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Daryl Seetoh is a local principal in the Intellectual Property & Technology (IPTech) practice group at Baker McKenzie Wong & Leow. He is a qualified lawyer in Singapore, and is a member of the International Association of Privacy Professionals (IAPP) as a Certified Information Privacy Professional for Asia (CIPP/Asia), an IAPP Certified Information Privacy Manager (CIPM) and a Certified Information Privacy Professional for Europe (CIPP/E). Daryl has previously worked at Baker McKenzie’s San Francisco office and has also been seconded to financial institution and technology multinational clients.

Singapore and the United Kingdom have signed a new Memorandum of Cooperation (MoC) to enhance the safety and reliability of artificial intelligence (AI) technologies in its development and use. This agreement aims to pave the way for greater public trust in AI advancements. The MoC was signed by Minister for Digital Development and Information, Josephine Teo, and Secretary of State for Science, Innovation, and Technology, Peter Kyle, during Minister Teo’s working visit to the UK.

The Ministry of Home Affairs introduced the Protection from Scams Bill for First Reading in Parliament on 11 November 2024. The Bill empowers the Police to issue Restriction Orders (ROs) to banks to restrict an individual’s banking transactions, if there is reasonable belief that the individual will make money transfers to scammers.

In a recent article, The Cybersecurity of Gen-AI and LLMs: Current Issues and Concerns, the Cyber Security Agency of Singapore provides helpful commentary on the security and privacy challenges associated with generative artificial intelligence and large language models. The article outlines issues such as accidental data leaks, vulnerabilities in AI-generated code and potential misuse of AI by malicious actors, before providing recommendations on the steps that technology companies can take to address these concerns.

The Cyber Security Agency (CSA) has just released Guidelines on Securing AI Systems (“Guidelines”) and a Companion Guide on Securing AI Systems (“Companion Guide”).
The Guidelines advocate for a “secure by design” and “secure by default” approach, addressing both existing cybersecurity threats and emerging risks, such as adversarial machine learning. The aim is to provide system owners with principles for raising awareness and implementing security controls throughout the AI lifecycle.
The Companion Guide is an open-collaboration resource, and while not mandatory, it offers guidance on useful measures and controls informed by industry best practices, academic insights and resources such as the MITRE ATLAS database and OWASP Top 10 for Machine Learning and Generative AI.

Singapore authorities are looking to address the recent spate of SMS-phishing scams targeting digital bank users through a variety of measures. The multi-stake holder approach involves government entities with responsibilities for the financial, telecommunications and home affairs sectors, as well as industry groups such as the Association of Banks in Singapore.