* [Blog](https://www2.paloaltonetworks.com/blog) * [Palo Alto Networks](https://www2.paloaltonetworks.com/blog/corporate/) * [CIO/CISO](https://www2.paloaltonetworks.com/blog/category/ciociso-zh-hant/?lang=zh-hant) * 釋放AI潛力：在成長中兼顧資安防護... # 釋放AI潛力：在成長中兼顧資安防護 [](https://www.facebook.com/sharer/sharer.php?u=https%3A%2F%2Fwww2.paloaltonetworks.com%2Fblog%2F2025%2F06%2Funleash-potential-of-ai%2F%3Flang%3Dzh-hant) [](https://twitter.com/share?text=%E9%87%8B%E6%94%BEAI%E6%BD%9B%E5%8A%9B%EF%BC%9A%E5%9C%A8%E6%88%90%E9%95%B7%E4%B8%AD%E5%85%BC%E9%A1%A7%E8%B3%87%E5%AE%89%E9%98%B2%E8%AD%B7&url=https%3A%2F%2Fwww2.paloaltonetworks.com%2Fblog%2F2025%2F06%2Funleash-potential-of-ai%2F%3Flang%3Dzh-hant) [](https://www.linkedin.com/shareArticle?mini=true&url=https%3A%2F%2Fwww2.paloaltonetworks.com%2Fblog%2F2025%2F06%2Funleash-potential-of-ai%2F%3Flang%3Dzh-hant&title=%E9%87%8B%E6%94%BEAI%E6%BD%9B%E5%8A%9B%EF%BC%9A%E5%9C%A8%E6%88%90%E9%95%B7%E4%B8%AD%E5%85%BC%E9%A1%A7%E8%B3%87%E5%AE%89%E9%98%B2%E8%AD%B7&summary=&source=) [](https://www.paloaltonetworks.com//www.reddit.com/submit?url=https://www2.paloaltonetworks.com/blog/2025/06/unleash-potential-of-ai/?lang=zh-hant&ts=markdown) [](mailto:?subject=釋放AI潛力：在成長中兼顧資安防護) Link copied By [Rich Campagna](https://www.paloaltonetworks.com/blog/author/rich-campagna/?lang=zh-hant&ts=markdown "Posts by Rich Campagna") Jun 18, 2025 1 minutes [CIO/CISO](https://www.paloaltonetworks.com/blog/category/ciociso-zh-hant/?lang=zh-hant&ts=markdown) [CSO Perspective](https://www.paloaltonetworks.com/blog/category/cso-perspective-zh-hant/?lang=zh-hant&ts=markdown) [AI](https://www.paloaltonetworks.com/blog/tag/ai-zh-hant/?lang=zh-hant&ts=markdown) AI應用程式的快速整合為企業帶來了豐富的機會。這些智慧系統具有革新營運、推動創新以及提升生產力的潛力。隨著越來越多企業擁抱 AI 的力量，實現其完整潛力的關鍵要素在於建立健全的資安措施。透過主動處理資安考量，我們能夠營造一個值得信賴的環境，促進AI技術的安全且廣泛的採用。 在這個環境中，企業需要對AI工具通常用於訓練和推論等功能所存取的龐大資料進行控管。防護所有這些威脅的最佳方式是採用AI驅動的資安解決方案。能掌握 AI 安全的企業，也將在競爭中搶占先機。 AI採用的成長與相伴隨的風險 AI 的普及速度驚人，無論是生成式 AI（GenAI）還是資料分析工具，都正加速重塑各產業樣貌。根據[麥肯錫顧問公司（McKinsey \& Company）近期調查](https://urldefense.proofpoint.com/v2/url?u=https-3A__www.mckinsey.com_capabilities_quantumblack_our-2Dinsights_the-2Dstate-2Dof-2Dai&d=DwMFog&c=V9IgWpI5PvzTw83UyHGVSoW3Uc1MFWe5J8PTfkrzVSo&r=rlV3QLKXfVd47fRPwA7WrCCSjqFsgIzvhSPB3-jJ4YQ&m=cUq1edmU6Fry9bYoHcTHL62DsuWsiOP4VX9g9VJzgK8d9LsjrWW1BK8EBDditKzv&s=buGo4eiNg4rUyZwqFheuR5EAs83Qo7AxqNC_byd15D4&e=)，超過 75% 的企業已在多項業務功能中部署 AI，足見其帶來的價值之巨大。 然而，如同任何強大的技術，負責任的導入才是關鍵。雖然 AI 的快速採用令人振奮，但這也需要我們更加關注其底層資料以及系統的安全性。若能將安全性融入 AI 開發與部署的每一個環節，企業便能在充分享受其帶來效益的同時，有效降低潛在風險。 底層資料的挑戰 隨著企業導入 AI，積極主動的資料管理策略變得至關重要。雖然像 Hugging Face 這樣的平台提供了大量的開源模型與資料集（截至目前為止，已有超過 150 萬個模型和 40 萬個資料集），但確保這些資訊的負責任與合乎倫理的使用仍然十分重要。例如，醫療資料集的開放就需特別注意，如同 HIPAA 等隱私法規，透過落實健全的資料治理機制，企業能夠更有效地應對這些複雜的挑戰。 同樣地，針對大型語言模型（LLMs）[訓練資料](https://urldefense.proofpoint.com/v2/url?u=https-3A__www.hollywoodreporter.com_business_business-2Dnews_openai-2Dtraining-2Ddata-2Dinspected-2Dauthors-2Dcopyright-2Dcase-2D1236011291_&d=DwMFog&c=V9IgWpI5PvzTw83UyHGVSoW3Uc1MFWe5J8PTfkrzVSo&r=rlV3QLKXfVd47fRPwA7WrCCSjqFsgIzvhSPB3-jJ4YQ&m=cUq1edmU6Fry9bYoHcTHL62DsuWsiOP4VX9g9VJzgK8d9LsjrWW1BK8EBDditKzv&s=LUZOkbJTiHwQ-E3bnEZNTDntakbcw2E1BgcMQeeZODM&e=)的持續討論，也突顯了尊重智慧財產權的重要性。主動面對這些議題，有助於建立一個更具永續性且合法合規的 AI 生態系統。此外，雖然 Palo Alto Networks 的研究人員發現了惡意 AI 模型，提醒我們需提高警覺，但這也同時促進了相關資安解決方案的發展，以偵測並消除此類威脅。 需要更多控制 企業可以做什麼？暫緩導入 AI並非解答，無論這看起來多麼誘人。對於想要保持競爭力的現今企業來說，這根本不可行。 關鍵在於採取「從設計即安全」（secure by design）的理念。這意味著在 AI 應用程式開發的整個生命週期中融入安全考量，使開發人員與資料科學家能夠打造穩健且值得信賴的模型。一個全面的 AI 安全平台應涵蓋以下幾個關鍵領域： * **AI** **代理的安全（** **Security for AI agents** **）** -- 代理必須受到保護，免受新的代理威脅，如工具濫用、身份冒充和記憶體操縱。 * **AI** **模型掃描** **（** **Scanning for AI models** **）**-- 主動掃描AI模型的漏洞，以便安全採用，將使您的AI生態系統免受反序列化攻擊、模型篡改、惡意腳本和其他風險。 * **狀況管理（** **Posture Management** **）**－深入了解 AI 生態系統中與安全狀況相關的風險，有助於避免因配置錯誤、敏感資料外洩或權限過度等問題所帶來的風險。 * **執行階段安全（** **Runtime Security** **）**－保護您的資料、AI 應用程式與由大型語言模型（LLMs）驅動的模型，免受執行期間可能出現的威脅，例如幻覺（hallucination）、有害內容、資源過載、提示注入（prompt injection）、敏感資料外洩與惡意程式碼等風險。 擊退 AI 引發的資料外洩風險 在 AI 的無人地帶裡，機會與威脅並存。由於未加保護的 AI 模型與資料集，一場大規模的資料外洩事件可能隨時爆發。面對這些風險，企業彷彿陷入進退兩難的境地---既無法忽視 AI 的潛力，又難以安心使用。但在競爭對手與攻擊者都已經積極運用 AI 的今天，AI 已不再是可有可無的選項。 AI 所帶來的好處無庸置疑，從加速應用程式開發、提升流程自動化，到顯著提高生產力，皆展現出其強大潛力。然而，若要真正實現這些優勢，從一開始就建立一個安全的基礎至關重要。請參考上述所提的最佳實務，打造一個穩固且安全的根基。如此一來，您將能夠在 AI 應用程式開發生命週期的每一階段確保安全，全面追蹤與監控員工對 AI 的使用情況，並隨時保護 AI 應用中所使用的資料，防止遺失或未經授權的存取。 *** ** * ** *** ## Related Blogs ### [Announcement](https://www.paloaltonetworks.com/blog/category/announcement-zh-hant/?lang=zh-hant&ts=markdown), [Cloud Security](https://www.paloaltonetworks.com/blog/cloud-security/category/cloud-security-3/?lang=zh-hant&ts=markdown) [#### Prisma Cloud Copilot：別只是詢問，要採取行動](https://www2.paloaltonetworks.com/blog/cloud-security/prisma-cloud-copilot/?lang=zh-hant) ### Subscribe to the Blog! 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