ChatGPT - 資安與金融業

OpenAI於2022年11月推出的ChatGPT(Chat Generative Pre-trained Transformer)是一款近期非常流行的聊天機械人,廣泛應用於資料搜集、文章撰寫、語言翻譯、程式碼編寫和調整、計算等領域。那麼,ChatGPT在金融方面能夠提供什麼樣的助力呢?然而,ChatGPT可能會出現資安問題?    

1966年,麻省理工學院推出了世界上公認的第一個聊天機械人Eliza,其應用範圍主要是模擬與心理治療師的對話。隨著聊天機械人的功能不斷演進,其應用範圍已經不僅限於單一用途。現代的聊天機械人配備學習功能,能夠自動學習和理解人類語言的語法和語意,並具備與人類進行自然對話的能力。    

金融業可以利用ChatGPT獲得多種效益。其中最常見的應用之一是在客戶服務方面,為客戶提供24小時不間斷的對話、回覆或推廣,提高客戶的滿意度和體驗。此外,ChatGPT還可以分析大量關於金融方面的數據,從而預測市場的走勢,有助於投資者做出更明智的投資決策。同時還可以應用在機構上的風險評估和風險控制,通過自然語言處理技術來監測客戶的交易行為和交易風險,提高風險管理的效率和準確性。    

ChatGPT雖然可以為金融企業帶來好處,但在資訊安全方面仍然是企業需要考慮的重點。因此,有些企業已經禁用員工使用ChatGPT。這是因為ChatGPT本身需要龐大的資料庫支持運作,其中包括了不少敏感資訊,如個人身分資訊和銀行資訊等。如果這些敏感資訊被非法獲取或洩露,會對用戶和企業造成嚴重的損失。知名消費電子產品及電子元件製造商三星就曾因員工將半導體設備、程式碼相關的資訊上傳給ChatGPT以方便工作,導致公司機密資料外洩。這也表明,企業在使用ChatGPT時需要特別注意資訊安全問題。   

因此,如何對資料進行加密及保護,配合國家如何監管,制定法規會成為ChatGPT的一大課題。只有在資訊安全問題得到充分解決和保障的情況下,ChatGPT才能夠被廣泛使用。   
    

尹展軒   
Senior IT Consultant

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At Ringus Solution Enterprise Limited, we know that in today’s digital-first world, two things matter more than ever: security and performance. That’s why our Technical Services Team focuses on helping businesses protect their systems from cyber threats and ensure their applications run smoothly under all conditions.Security breaches can be devastating—leading to data loss, reputational damage, and costly downtime. Our Technical Services Team specializes in technical security assessments that help businesses stay one step ahead of potential threats. We don’t just run automated scans and call it a day. Instead, we take a comprehensive approach that includes in-depth vulnerability assessments, hands-on penetration testing, and detailed security configuration reviews. Our goal is to uncover vulnerabilities before malicious actors do, and to provide clear, actionable recommendations to strengthen your system's defenses.We also understand that a secure system must also be a high-performing one. That’s why we provide application performance testing as a core part of our services. Whether you're launching a new platform or scaling an existing one, we help ensure your application can handle the pressure. Our team conducts rigorous load and stress testing to simulate real-world usage, analyzes response times and throughput, and identifies bottlenecks that could slow down your users. We also assess scalability—so your systems grow as your business grows.What sets our team apart is our commitment to delivering not just technical reports, but real solutions. We translate complex findings into practical recommendations, empowering your business to take action quickly and confidently. With a team of experienced cybersecurity specialists and performance engineers, we combine technical expertise with a deep understanding of business needs.At Ringus, our mission is clear: help our clients build secure, reliable, and high-performing digital systems. If you're looking to strengthen your defenses or optimize your application performance, our Technical Services Team is ready to support you with precision, professionalism, and a proactive approach.

AI Management Standard

At Ringus, we believe that responsible AI adoption is not just a trend—it’s a necessity. With AI transforming industries, leading organizations / entities like NIST, ISO/IEC, HK DPO, the EU, and the UK ICO have published critical guidance / frameworks / standards to ensure AI is ethical, transparent, and risk-aware.Key Best Practice / Standard for AI Deployment and Governance:👉 UK ICO Guidance on AI and Data Protection and AI and Data Protection Risk Toolkit – A reference guidance and toolkit to help businesses avoid privacy violations and bias in AI systems.👉NIST AI Risk Management Framework (AI RMF 1.0) – A structured approach to manage risks to individuals, organizations, and society associated with AI.👉EU AI Act (2024) and Relevant Guideline / Codes of Practice (Under Drafting) – A legal requirement that sets out a clear set of risk-based rules for AI systems and general-purpose AI models. Relevant guideline and Codes of Practice are under development to provide guidance on compliance of regulation.👉Ethical Artificial Intelligence Framework and Hong Kong Generative Artificial Intelligence Technical and Application Guideline  –  A framework that provide practical guidance on embedding ethical principles into AI adoption, focusing on fairness, transparency, and accountability.👉ISO/IEC 42001:2023 – The first global AI management standard, which provide a comprehensive, certifiable framework to establish, implement, maintain, and continually improve trustworthy AI management systems for ensuring responsible, ethical, and secure AI development and deployment.Why Compliance Matters✅ Builds Trust – Customers and regulators demand transparent and fair AI.✅ Reduces Legal Risks – Non-compliance with frameworks like the EU AI Act can lead to heavy fines.✅ Prevents Reputation Damage – AI failures, such as AI bias and privacy breaches, can harm your brand permanently.We help businesses integrate AI responsibly—aligning with global standards and requirements to minimize risks and maximize trust. Feel free to connect with our team for actionable insights on secure and ethical technology adoption.