Digital Trust –企業的強心針

互聯網的無邊界令企業與顧客的關係日趨緊密,當網絡世界中的商戶、服務、產品及交易不勝其數,而虛假資訊、網路陷阱及駭客攻擊等同時又充斥著網絡,隱私及資訊安全無疑已成為顧客篩選商戶的重要考量,到底企業如何才能從中脫穎而出,除了取得顧客的信任及支持外,又能永續安全及穩定的營運模式?數位信任(Digital Trust)便是其中一支企業可予以考慮的「強心針」。

參考國際電腦稽核協會(ISACA)的官方定義,數位信任為「對一數位生態系統內消費者與供應商之間的誠信關係、互動及交易的信心」。比如說,由服務供應者(如雲端供應商、銀行機構)對企業,以至企業對顧客的整條數位供應鏈中,都由對彼此的數位信任環環相扣。一般而言,對顧客構成數位信任的關鍵可從以下指標作衡量:

  1. 「品質」(企業的服務或產品品質是否合符顧客的期望?)
  2. 「準確性」(資訊是否定期更新、準確以及可用的?)
  3. 「隱私及安全」(顧客的資訊是否受保護及保密?)
  4. 「道德及誠信」(企業的行為是否合符道德及正直?)
  5. 「透明度及誠實」(顧客會否被告知收集個人資訊的用途及實際情況?)
  6. 「適應性」(企業的運作是否穩定或恢復程度是否高?)

企業擁有良好的資訊安全管理系統固然能夠提升顧客的信任度,但相比於傳統的品質安全或資訊安全管理,數位信任的實踐更見利於強化顧客與企業間的聯繫、從不同層面改善企業運營表現、減少觸犯資安或隱私法律風險等等。

然而,數位信任的定義、指標、實踐框架等概念較廣泛,現時亦沒有特定的監管機構及標準,企業在數位信任實踐、監管、評估或稽核上要如何執行?相信數位信任為企業提升競爭力的一大機遇,同時亦是一大挑戰。

Theo Tam 

IT Consultant

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Secure, Reliable, High-performing digital systems

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.