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【Chinese Only】WePro180: 【AI時代安全挑戰】 三大網絡安全架構升級策略 DYXnet第一線為企業打造堅實防線

News BACK TO PREVIOUS

Jul 2, 2025

【AI時代安全挑戰】 三大網絡安全架構升級策略 DYXnet第一線為企業打造堅實防線

AI 可能是前所未有最鋒利的雙面刃——一邊廂它大幅提升工作效率,重新定義工作流程,另一邊廂,由 AI 驅動的威脅亦如洪水猛獸,鑽進企業網絡的弱點及漏洞發動攻擊。DYXnet 第一線作為「雲網安 +AI」服務供應商,夥拍全球頂尖網絡安全解決方案供應商 Fortinet,提倡從網絡架構做好防守,配合「主動狩獵」與「智能防禦」雙管齊下,透過 Secure SD-WAN、ZTNA 及 WAF 打造堅實防線,結合 Recon 等 AI 驅動的偵測工具實現威脅預警,為企業建立全方位的網絡安全生態系統。

 

網絡安全監控三大策略 達到高效安全管理

隨著生成式 AI 技術普及,網絡犯罪的門檻大幅降低,攻擊數量與複雜度皆呈指數級增長,企業若未能及時升級防禦體系,不僅有機會面臨重大財務損失,更有可能危及品牌信譽。第一線的方案經理曾昭儒(Alfred)指出,現代企業面臨的最大挑戰在於分散式工作模式所帶來的管理難題——員工使用各類裝置及雲端服務工作,使網絡邊界變得模糊,攻擊面大增,令 IT 人員難以管理。傳統的安全控制措施已難以有效抵禦這類新型威脅,企業必須盡快進行網絡安全架構升級。就此,Alfred 建議以下三大策略,助企業達到高效的網絡安全管理:

 

策略一) 強化網絡底層防守 整合網絡與安全功能

現代網絡攻擊日益複雜,傳統防禦方式已不足以應對,企業需從網絡架構的底層著手,建構更嚴密的防護網。Alfred 指出,現代化網絡與安全整合方案的優勢在於毋需推翻現有架構,即可在既有基礎上實現安全升級,並通過集中化管理平台,強化企業的網絡安全態勢。這些方案包括 Secure SD-WAN、零信任網絡存取(ZTNA)及網頁應用服務防火牆(WAF)。

Secure SD-WAN 是將 SD-WAN 與安全功能整合的網絡技術,確保全球端點間的連接的安全性。至於 ZTNA,則是基於零信任安全原則的存取安全策略,透過持續驗證機制,嚴格控管每個存取請求,大幅降低內部橫向移動攻擊的風險,這種策略特別適合跨國企業或混合辦公環境,可有效防範勒索軟件、內部威脅及未經授權的存取行為。「DYXnet 的解決方案結合 SmartDNS 與 FortiGuard 服務,為企業提供靈活的 SD-WAN 策略,優化連接品質,同時維護數據安全與提升網絡韌性。而我們的 ZTNA 解決方案,通過 DYXnet 全球 PoP 覆蓋結合 SASE 以及 2FA / SSO 策略,實現零信任架構與多層身份認證,確保遠端工作和跨區協作的安全性和穩定性。」

此外,第一線的 WAF 解決方案,可在多平台上靈活部署,針對「OWASP Top 10」等常見漏洞,結合人工智能與大數據分析技術,提供全方位且迅速的防護措施。

 

策略二) 主動威脅狩獵 情報收集及漏洞掃描

生成式 AI 的濫用已催生出新型攻擊手法,從高度逼真的釣魚攻擊到以假亂真的深度偽造技術,令傳統防禦機難以招架。Alfred 強調,在現代網絡威脅環境中,企業需要採取主動防禦策略來應對日益複雜的攻擊手法,偵查監測(Recon)及漏洞管理策略,可幫助企業提前發現威脅並修補安全弱點。

「透過持續性的 Recon 與 SOC(安全運營中心)協作,企業能夠系統性地掃描網絡暴露面,及時識別過時的系統版本或錯誤配置。這套機制不僅能有效偵測潛在攻擊跡象、發出早期預警,更能全面掌握企業的攻擊面,持續監控暗網中的威脅情報,以及識別出可能被惡意仿冒的企業資產。」Alfred 解釋,藉由這種全方位的威脅偵測機制,企業得以在攻擊發生前獲取關鍵安全訊息,並預先部署相應的防禦措施。這種主動式防禦模式可顯著降低數據外洩風險,避免因網絡攻擊導致的業務中斷,從而提升企業的網絡安全防護水平。

 

策略三) AI對抗AI 簡化網絡安全運營

當 AI 技術被用於惡意攻擊時,海量警報與新型威脅往往讓 IT 管理人員疲於奔命,甚至出現威脅漏檢、響應延遲及人為失誤的情況。為解決這個困境,Alfred 認為企業可借助 AI 驅動的安全能力,以 AI 對抗 AI,他指出:「由 AI 驅動的網絡安全防護技術,為企業提供即時威脅情報,有效阻截新型及潛在攻擊,例如透過情境化風險評估系統,能精準判別威脅等級,優先處理關鍵風險,大幅降低誤報率。而智能演算法更能深入挖掘隱藏威脅,包括未經授權的 AI 使用行為,全面管控安全風險。」與此同時,自動化維運工具能即時執行政策更新與配置修正,簡化營運流程,大幅減輕 IT 人員的管理負擔之餘,亦提升企業整體網絡韌性。

 

AI本地化部署與AI安全

Alfred 特別提到,企業採用 AI 已是大勢所趨,但生成式 AI 的無管控使用也可能成為安全漏洞,令敏感資料外洩的風險大增,因此企業必須建立專門的防護機制,包括 LLM 數據洩漏防護與 API 安全網關,從基礎設施到應用層面實現全面保護。他補充:「此外,企業可考慮在本地進行 AI 部署,能夠有效保障數據隱私與運算效能,通過融合安全性和人工智能服務,構建一個既智能又負責任的安全環境。」

 

Source: WePro180 https://www.wepro180.com/%e3%80%90ai%e6%99%82%e4%bb%a3%e5%ae%89%e5%85%a8%e6%8c%91%e6%88%b0%e3%80%91-%e4%b8%89%e5%a4%a7%e7%b6%b2%e7%b5%a1%e5%ae%89%e5%85%a8%e6%9e%b6%e6%a7%8b%e5%8d%87%e7%b4%9a%e7%ad%96%e7%95%a5%e3%80%80dyxnet/
【Chinese Only】霞光社: AI大模型掀起商業變革浪潮 全球算力服務市場搶灘戰啟幕
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