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A CISO’s Guide to Managing Machine Identities

Practical strategies for securing your digital infrastructure beyond human users.

In today’s complex digital environment, machines are often the majority of users accessing systems and data. This presents a new challenge for Chief Information Security Officers (CISOs) and their teams: how to manage and secure these non-human “machine identities.” A failure in this area can lead to costly outages, data breaches, and a lack of control over your infrastructure.

Types of Critical Machine Identities

API Keys and Secrets

These provide programmatic access to services, often bypassing standard security controls. They are a common source of vulnerability if not properly managed, as they can lead to unauthorized access and API security gaps.

Service Accounts

These accounts enable automated operations across systems. They are a significant part of an organization’s identity landscape, and securing them is essential to prevent misuse and credential sprawl.

TLS/SSL Certificates

Certificates secure communication across thousands of endpoints. When they expire or are mismanaged, they can cause major vulnerabilities and disrupt access to critical services. Proper lifecycle management is key to preventing these issues.

Core Strategies for Management

Automated Discovery and Monitoring

You can’t secure what you can’t see. CISOs should deploy automated scanners to discover all machine identities, including forgotten or “shadow” credentials. Continuously monitoring these identities ensures that vulnerabilities are found early.

Lifecycle Management and Ownership

Every machine identity should have a human owner responsible for its lifecycle—from creation to retirement. Automating tasks like dynamic secret generation and automated credential expiration can help scale this process and reduce manual errors.

Integrating Machine Identities into IAM

Machine identities must be a core part of your overall Identity and Access Management (IAM) strategy. By doing so, you gain a unified view and consistent control over both human and non-human access to your most critical systems.

About Segura®
Segura® strive to ensure the sovereignty of companies over actions and privileged information. To this end, we work against data theft through traceability of administrator actions on networks, servers, databases and a multitude of devices. In addition, we pursue compliance with auditing requirements and the most demanding standards, including PCI DSS, Sarbanes-Oxley, ISO 27001 and HIPAA.

About Version 2 Digital

Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

大型語言模型 (LLM) 和機器學習:背景及其在客戶服務中的應用

大型語言模型(LLM)與機器學習:
現代客戶服務指南

人工智能(AI)正在為客戶服務帶來革命性的變革,但許多企業仍難以將其潛力轉化為實際的商業價值。為了有效利用 AI,領導者需要清楚了解其背後的核心驅動技術。本文將揭開大型語言模型(LLM)和機器學習(ML)的神秘面紗,探討它們的運作方式以及在客戶服務領域的應用潛力。


奠定基礎:從機器學習到大型語言模型

要理解 LLM,您必須先了解驅動它們的引擎:機器學習。

什麼是機器學習?

機器學習是 AI 的一個領域,它讓系統從數據中學習,而無需為每項任務進行明確的編程。ML 模型透過對海量數據集的訓練來識別模式、做出預測,並隨著時間推移在沒有新指令的情況下提升自身表現。

您可以這樣理解:與其編寫一套嚴格的規則來讓程式識別貓,不如向 ML 模型展示數千張貓的圖片。模型會自行學習其模式——鬍鬚、尖耳朵、尾巴——然後就能獨自識別新圖片中的貓。

這個學習過程會透過「強化學習」等技術進行微調,模型會被教導在其多個輸出中哪個是最佳選擇,從而做出越來越好的決策。

什麼是大型語言模型?

大型語言模型是機器學習的一種專門且強大的應用。它們是模仿人腦設計的神經網絡,並在海量的文本和數據上進行訓練。這種訓練使它們能夠理解、詮釋、總結並生成類似人類的語言——這個領域被稱為自然語言處理(NLP)。

2017 年,「Transformer 模型」的推出帶來了重大突破,它允許 LLM 權衡句子中不同詞語的重要性。這種架構極大地提升了它們的速度和對上下文的理解能力,使其變得更加強大。

如今,企業可以選擇自行建構 LLM,或授權使用預先訓練好的模型。這些模型可以利用公司特定的數據進行進一步的「微調」,使其適應特定的行業、任務或溝通風格,從而產生更精確、更貼近情境的輸出。


LLM 對客戶服務的影響

LLM 能透過賦能客服人員、自動化任務以及提供更快速、更一致的客戶體驗,來獨特地優化客戶服務。

在服務環境中的關鍵能力:

  • 智能自動化:LLM 驅動的聊天機器人可以處理完整的支援對話、全年無休地回答常見問題、對傳入的服務單進行分類,並將其分配給正確的部門。
  • 賦能客服人員:LLM 並非取代客服人員,而是作為其強大的助手。它們可以即時總結冗長的服務單歷史記錄、分析客戶情緒以標示出挫折感,並草擬準確且符合情境的回覆,讓客服人員只需審核後即可發送。
  • 提升品質與一致性:LLM 可以將複雜的技術資訊改寫為簡單的術語、即時翻譯對話,並確保所有溝通都遵循一致的品牌語氣。

一個實際用例

想像一位客戶就最近實施的某個軟件所遇到的複雜問題聯繫客服。被指派的客服人員可以利用 LLM 來:

  • 即時總結與該客戶先前所有的互動記錄。
  • 使用情緒分析來偵測客戶的沮喪程度。
  • 接收一份針對該問題的建議回覆,客服人員只需快速編輯和批准即可。

這節省了大量的時間,並且 AI 驅動的情境資訊與人工監督的結合,帶來了更快速、更具同理心且更有效的解決方案。


實用指南:有效運用 LLM 和 ML

現在的問題不再是是否應該使用這些技術,而是如何使用。以下是一些實用技巧,幫助您在應對潛在挑戰的同時,最大化它們的效益。

1. 充分發揮優勢

  • 目標是策略性自動化:不要只用 LLM 來協助手動任務。找出可以完全自動化的流程,例如生成首次回覆郵件、根據已解決的服務單創建知識庫文章,或從頭到尾處理例行性的資訊請求。
  • 提升精準度與品質:利用先進的 ML 來產出高品質的內容。LLM 擅長生成精良的報告、清晰的摘要和準確的翻譯,從而提升您溝通的標準。
  • 發掘創新解決方案:由於 LLM 在龐大且多樣化的數據集上進行訓練,它們可以連結不同領域的資訊,提出人類客服人員可能未曾想到的創新或非傳統的解決方案。

2. 克服挑戰

儘管優勢顯著,但負責任地實施 AI 需要意識到其挑戰。

  • 處理「幻覺」問題:偶爾,LLM 會生成聽起來合理但事實上不正確的資訊。這是因為模型是預測下一個最有可能的詞,而不是驗證事實的真相。緩解方法:透過向 LLM 提供具體的上下文——例如相關的知識庫文章或技術文件——來減少幻覺的發生,使其回覆更基於事實。
  • 識別偏見:LLM 可能會無意中複製其訓練數據中存在的偏見(例如社會刻板印象、以美國為中心的例子或過於正式的語言)。緩解方法:使用成熟、經過充分測試的應用程式。利用您自己策劃且多樣化的數據集對模型進行微調,可以顯著減少偏見。
  • 保護敏感資料:客戶資料是機密的。切勿將個人或敏感資訊輸入公共的 LLM。緩解方法:使用符合《通用資料保護規則》(GDPR)等法規的企業級 AI 解決方案,並提供強大的數據私隱控制。

結論:未來是一項策略性選擇

大型語言模型和機器學習不再是未來的概念,它們已是現代客戶服務不可或缺的工具。它們透過提供快速、準確和個人化的支援,在效率、客戶體驗和滿意度方面帶來了顯著的提升。

最終,關鍵的差異化因素將是企業選擇如何整合這些技術。它們可以透過以下兩種方式之一被使用:

  • 作為輔助工具:偶爾用於加速或增強現有的手動流程。
  • 作為顛覆性技術:策略性地用於完全自動化和取代手動流程。

雖然第一種方法能帶來漸進式的收益,但第二種方法才能釋放 AI 全部的轉型潛力。那些只將 LLM 用於次要協助的企業,才剛剛觸及到其可能性的皮毛。卓越客戶服務的未來,屬於那些完全擁抱技術驅動、自動化和智能化策略的企業。

關於 OTRS

OTRS(原名為 Open-Source Ticket Request System)是一套服務管理軟體套件,包含專員入口網頁(agent portal)、管理員儀表板(admin dashboard)及客戶入口網頁(customer portal)。 在專員入口網頁中,團隊能夠處理來自內部或外部客戶的案件與請求。此處提供多種方式來檢視這些資訊,以及客戶和相關數據。 顧名思義,管理員儀表板讓系統管理員能夠管理系統:功能眾多,包括角色與群組、流程自動化、頻道整合以及 CMDB/資料庫選項。 第三個組件,客戶入口網頁,則類似一個可客製化的網頁,可供與客戶共享資訊,並讓客戶端能夠追蹤自己的請求進度。

關於Version 2

Version 2 Digital 是立足亞洲的增值代理商及IT開發者。公司在網絡安全、雲端、數據保護、終端設備、基礎設施、系統監控、存儲、網絡管理、商業生產力和通信產品等各個領域代理發展各種 IT 產品。透過公司龐大的網絡、通路、銷售點、分銷商及合作夥伴,Version 2 提供廣被市場讚賞的產品及服務。Version 2 的銷售網絡包括台灣、香港、澳門、中國大陸、新加坡、馬來西亞等各亞太地區,客戶來自各行各業,包括全球 1000 大跨國企業、上市公司、公用事業、醫療、金融、教育機構、政府部門、無數成功的中小企及來自亞洲各城市的消費市場客戶。

Parallels Desktop 26: Ready for macOS Tahoe

A look at the new features and improvements in the latest version of Parallels Desktop.

Parallels Desktop 26 has been launched with full support for the new macOS Tahoe 26 and Windows 11 version 25H2. This release focuses on providing a more seamless, stable, and secure experience for users who need to run multiple operating systems on their Mac.

Key Features for Individual Users

Seamless macOS Tahoe 26 Support

Parallels Desktop 26 is built to handle the new background process changes and restrictions in macOS Tahoe, ensuring that key features like **Coherence Mode** and setup routines continue to work smoothly. The new version also includes visual updates to match the new “Liquid Glass” aesthetic of macOS Tahoe.

Accurate Disk Space Visibility

Windows virtual machines can now accurately see the available disk space on your Mac’s hard drive. This helps you better manage storage, preventing slowdowns, freezes, and crashes that can occur during large installations or disk-intensive tasks.

Key Features for Businesses & IT Teams

Simplified Single-App Deployment

Parallels Desktop 26 includes new documentation and tools that allow IT administrators to easily deploy and manage a single Windows application on a Mac without giving end-users the full Windows or Parallels interface. This is ideal for specialized workflows and legacy applications.

Jamf Pro Integration

IT teams can now monitor and manage Windows OS updates within virtual machines using Jamf Pro and other mobile device management (MDM) platforms. This gives administrators better control over their virtual environments.

SOC 2 Type II Compliance

The new release has successfully completed a SOC 2 Type II audit, demonstrating Parallels’ strong commitment to security, availability, and privacy. This helps enterprise IT teams meet their internal and external compliance standards.

About Parallels 
Parallels® is a global leader in cross-platform solutions, enabling businesses and individuals to access and use the applications and files they need on any device or operating system. Parallels helps customers leverage the best technology available, whether it’s Windows, Linux, macOS, iOS, Android or the cloud.

About Version 2 Digital

Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

Caddy Webserver Data in Graylog

If you’re running Caddy Webserver on Ubuntu, Graylog now has a new way to make your access logs more actionable without tedious parsing or manual setup. The new Caddy Webserver Content Pack, available in Illuminate 6.4 and a Graylog Enterprise or Graylog Security license, delivers ready-to-use parsing rules, streams, and dashboards so you can quickly turn raw logs into structured, searchable insights.

What is Caddy Webserver?

Caddy is a popular web server because it’s lightweight, easy to configure, and comes with automatic HTTPS by default, thanks to its built-in Let’s Encrypt integration. It supports modern protocols like HTTP/2 and HTTP/3, offers simple yet powerful configuration through a human-friendly syntax, and runs efficiently with minimal dependencies. Developers and system administrators appreciate Caddy’s security-focused defaults, cross-platform support, and ability to serve static files, reverse proxy applications, and handle complex routing with minimal setup.

What This Pack Does

The Caddy Webserver Content Pack is purpose-built for environments running Caddy version 2.7.x on Ubuntu. Once installed, it automatically parses access logs into Graylog schema-compatible fields, tagging each event with the GIM code 180200 (http.communication) so they integrate seamlessly into your security workflows.

Included in the pack:

  • Stream: Illuminate:Caddy Webserver Messages – created automatically if it doesn’t exist, with routing rules preconfigured.
  • Index Set: Caddy Webserver Logs – pre-defined and ready for tuning after installation.
  • Parsing Rules: Extracts structured fields such as remote IP, HTTP method, URI, status code, and more.
  • Dashboard: Creates a dashboard overview with message counts, severity, response codes, request paths and others.

 

Requirements

To use this pack, you’ll need:

  • Ubuntu/Linux with standard Caddy log paths.
  • Filebeat with Graylog Sidecar for log delivery.
  • Graylog Enterprise or Graylog Security with Illuminate installed.

 

Getting Logs into Graylog

  1. Configure Graylog Server
  • Create a global Beats input in Graylog.
  • Generate a Graylog REST API token.
  • In Sidecar, create a Filebeat configuration for Linux and set:
filebeat.inputs:
  - input_type: log
    paths:
      - /var/log/caddy/*
    type: filestream
    fields_under_root: true
    fields:
      event_source_product: caddy_webserver

 

  1. Install and Configure Sidecar on the Caddy Host

 

wget https://packages.graylog2.org/repo/packages/graylog-sidecar-repository_1-5_all.deb

sudo dpkg -i graylog-sidecar-repository_1-5_all.deb

sudo apt-get update && sudo apt-get install graylog-sidecar

Edit /etc/graylog/sidecar/sidecar.yml with your Graylog server URL and API token, then install and start the service.

 

  1. Install Filebeat

 

wget -qO - https://artifacts.elastic.co/GPG-KEY-elasticsearch | sudo apt-key add -

sudo apt-get install apt-transport-https

echo "deb https://artifacts.elastic.co/packages/oss-8.x/apt stable main" | sudo tee -a /etc/apt/sources.list.d/elastic-8.x.list

sudo apt-get update && sudo apt-get install filebeat

sudo systemctl enable filebeat

sudo systemctl start filebeat

 

Why Log Caddy Webserver Logs?

Logging Caddy Webserver logs gives you more than just HTTP request history — it can directly support security, performance, troubleshooting, and compliance use cases. Here’s a breakdown.


Caddy Webserver Dashboard Overview

Security Monitoring

  • Detect Malicious Activity
    • Identify brute-force login attempts, directory traversal (../) exploits, or repeated 404s from the same IP.
    • Spot unusual request patterns that could indicate reconnaissance or a botnet probe.
  • Track Suspicious Clients
    • Find requests with unusual User-Agent strings, malformed headers, or high request rates.
  • GeoIP Correlation
    • See where requests are coming from and detect anomalies (e.g., sudden traffic from countries where you have no users).

 

Performance & Optimization

  • Monitor Response Times
    • Track slow requests by path, method, or upstream target.
    • Correlate spikes in latency with backend or network issues.
  • Traffic Analysis
    • Understand peak usage hours, top requested endpoints, and request method distribution.
  • Bottleneck Identification
    • Pinpoint routes causing high CPU/memory usage due to expensive processing.

 

Troubleshooting & Incident Response

  • Error Investigation
    • Analyze 4xx and 5xx patterns to quickly identify misconfigurations or service failures.
  • Debugging
    • Review request/response logs when APIs or web apps behave unexpectedly.
  • Historical Context
    • See what happened leading up to an outage or anomaly.

 

Compliance & Audit

  • Regulatory Requirements
    • PCI DSS, HIPAA, SOC 2, and similar frameworks often require logging of all access to sensitive systems.
  • Forensic Evidence
    • Maintain an immutable record for post-incident analysis or investigation.
  • Retention Policies
    • Store logs in a central system to meet audit trail requirements.

 

Integration & Automation

  • Centralized Observability
    • Send Caddy logs to Graylog to correlate with application, system, and security logs.
  • Alerting
    • Trigger alerts for abnormal traffic patterns, high error rates, or possible DDoS events.
  • Automated Blocking
    • Integrate log-based rules with WAFs or firewalls to block malicious IPs in real time.

 

Graylog Enterprise and Security

By operationalizing your Caddy logs in Graylog, you can quickly detect anomalies, identify suspicious requests, and feed relevant data directly into your threat detection and response workflows. For more info on what fields are available click here

About Graylog  
At Graylog, our vision is a secure digital world where organizations of all sizes can effectively guard against cyber threats. We’re committed to turning this vision into reality by providing Threat Detection & Response that sets the standard for excellence. Our cloud-native architecture delivers SIEM, API Security, and Enterprise Log Management solutions that are not just efficient and effective—whether hosted by us, on-premises, or in your cloud—but also deliver a fantastic Analyst Experience at the lowest total cost of ownership. We aim to equip security analysts with the best tools for the job, empowering every organization to stand resilient in the ever-evolving cybersecurity landscape.

About Version 2 Digital

Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

API 威脅、機器人攻擊與隨機流量高峰:AWS WAF + Cloudbric WMS 如何在 2025 年保障您的安全

API 威脅、機器人攻擊與流量高峰:
AWS WAF + Cloudbric WMS 如何在 2025 年確保您的業務安全

在 2025 年,數碼版圖已成為一個高風險的戰場。API 成為新的前線,自動化機器人數量已超越人類用戶,而超大流量的 DDoS 攻擊規模達到了前所未有的程度。對於在 AWS 上營運的企業來說,標準的、開箱即用的安全防護已遠遠不夠。您需要的是專家管理、情報驅動的防禦。

這正是 Cloudbric WMS 發揮作用之處,它能將您的 AWS WAF 從一個簡單的工具,轉變為一個人員齊備、全面的安全營運中心。

1. 挑戰:攻擊者已進入「BOSS 模式」

2025 年的威脅數據明確顯示:攻擊的複雜性和數量,正讓手動防禦不堪重負。

趨勢數據點
API 攻擊爆炸性增長2024 年 Web 應用程式與 API 攻擊達 3,110 億次,年增 33%。
機器人數量超越人類自動化流量現佔網路 51%;僅惡意機器人就佔 37%。
流量高峰即攻擊信號超大流量 HTTP DDoS 攻擊 (>1 億 pps) 季增 592%。
業務邏輯濫用OWASP 現將「無限制存取敏感業務流程」列為關鍵 API 風險 (API6:2023)。

雖然 AWS WAF 提供了具備低延遲邊緣保護的堅實基礎,但它將最關鍵的任務——持續的規則調整、誤報管理和主動式威脅分析 —— 留給了您。這在「擁有工具」和「擁有真正的安全解決方案」之間,造成了一個危險的差距。

2. 解決方案:Cloudbric WMS——在 AWS WAF 之上疊加情報與專業知識

Cloudbric WMS 透過在您現有的 AWS WAF 部署之上,疊加三項關鍵能力來彌補這一差距。

能力提供的價值
先進情報技術棧來自全球情報源的即時威脅 IP 評分、一個能分析 WAF 日誌以偵測異常和機器人指紋的 AI 引擎,以及一個擁有 91.53% 偵測率的專有規則引擎 (Tolly BMT)。
全天候專家支援一個全球安全營運中心 (SOC) 作為您團隊的延伸。我們的專家分析師能解讀警報、處理事件、在數分鐘內推送緩解措施,並提供符合您業務邏輯的客製化規則諮詢——沒有第一線客服腳本,沒有延遲。
具洞察力的可視性一個統一的營運儀表板,為您和我們的專家提供清晰的流量與威脅視圖,而高階主管級威脅報告則為稽核和策略規劃提供所需洞見。

3. 攻防速查表

親眼見證其中的差異。以下是常見的複雜攻擊,在使用與不使用 Cloudbric WMS 的情況下,處理方式有何不同。

威脅情境原生 AWS WAF搭配 Cloudbric WMS
針對未記載 API 端點的 GraphQL 注入需要手動建立複雜的正規表示式 (Regex) 規則。自動學習的 API 結構結合行為偵測,能自動攔截攻擊。
AI 驅動的價格爬蟲機器人集群機器人控制功能可攔截已知的惡意機器人,但複雜的機器人可能繞過。威脅 IP 評分能立即攔截低信譽來源,同時透過無頭瀏覽器指紋辨識和分鐘級速率限制來阻止集群攻擊。
突發的 7 Tbps DDoS 攻擊依賴預設的 ACL 速率限制;您的團隊需在事後分析日誌。我們的 24/7 SOC 會立即升級處理、應用地理過濾來阻擋攻擊節點,並在 15 分鐘內提交一份無需您介入的事件報告。
濫用「大量訂購」API 流程 (API6)沒有針對業務邏輯濫用的特定、開箱即用的防護。一套客製化的業務邏輯規則,包含交易上限和異常評分,能有效防止此類濫用。

4. 數分鐘完成部署,無需數月

入門過程簡單快捷。

  1. 在 AWS Marketplace 上訂閱 Cloudbric WMS。
  2. 委派存取權限給您現有的 AWS WAF 及相關資源 (如 CloudFront)。
  3. 基準日誌記錄開始,我們的威脅 IP 評分模型會自動建立。
  4. 我們會在 **48 小時的「僅監控模式」**下運行,同時由我們的 SOC 調整任何誤報。
  5. 啟動攔截模式,您將開始收到每週的規則優化和高階主管威脅報告。

5. 經實證的業務成果

成果Cloudbric WMS 的影響
更少誤報透過先進的威脅 IP 評分和專家調校,最多減少 40%。
更高偵測率91.53% 的 OWASP Top-10 偵測率,相比領先的競爭對手低於 70% (Tolly,2024 年 2 月)。
更快緩解速度歸功於我們的 24/7 SOC,平均緩解時間少於 5 分鐘。
備受信賴的信譽獲認可為 AWS WAF Ready 與 ISV Accelerate 合作夥伴,並榮獲多項業界大獎。

6. 立即行動

準備好將您的 AWS WAF 升級為一個全天候、精通 API 的防護盾了嗎?立即開始您的 Cloudbric WMS 免費試用,親身體驗即時威脅 IP 評分、專家級 SOC 洞察以及零日規則更新的強大功能。

常見問題

Q1. Cloudbric WMS 會取代 AWS WAF 嗎?
A. 不會。它透過先進的情報、專業的 SOC 監控和更高精度的規則來擴展和增強 AWS WAF,同時確保您的流量安全地保留在 Amazon 的全球邊緣網路上。

Q2. 威脅 IP 評分是額外費用嗎?
A. 不,它是包含在所有 WMS 方案中的核心功能。評分會透過 Cloudbric 的全球威脅情報源進行即時更新。

關於 Penta Security

Penta Security 採取全方位的策略來涵蓋資訊安全的每個面向。本公司持續努力,透過廣泛的 IT 安全產品,在幕後確保客戶的安全。因此,Penta Security 總部位於韓國,並已在全球擴展,成為亞太地區的市佔領導者。

作為韓國最早進入資訊安全領域的公司之一,Penta Security 已經開發出廣泛的基礎技術。我們將科學、工程與管理相結合,擴展自身的技術能力,並以此技術視角做出關鍵決策。

關於Version 2

Version 2 Digital 是立足亞洲的增值代理商及IT開發者。公司在網絡安全、雲端、數據保護、終端設備、基礎設施、系統監控、存儲、網絡管理、商業生產力和通信產品等各個領域代理發展各種 IT 產品。透過公司龐大的網絡、通路、銷售點、分銷商及合作夥伴,Version 2 提供廣被市場讚賞的產品及服務。Version 2 的銷售網絡包括台灣、香港、澳門、中國大陸、新加坡、馬來西亞等各亞太地區,客戶來自各行各業,包括全球 1000 大跨國企業、上市公司、公用事業、醫療、金融、教育機構、政府部門、無數成功的中小企及來自亞洲各城市的消費市場客戶。

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