給CISO的見解：守護人工智慧閘道器

Insights for CISOs: Guarding the AI Gateway

出版日期: 2025年08月14日 | 出版商:

Frost & Sullivan | 英文 13 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

利用生成式人工智慧確保企業間互動的安全

隨著生成式人工智慧（Generative AI）越來越深入地融入企業營運，為副駕駛、助理和自動代理等應用提供動力，企業面臨新一輪動態的安全風險。傳統的網路安全架構已無法應對 GenAI 系統的流動性、自主性和不可預測性。

本報告為資安長（CISO）提供了一份全面的藍圖，以確保企業採用 GenAI 技術，識別關鍵風險載體，包括提示注入、資料外洩、API 濫用、模型中毒和影子 AI，並概述緩解這些風險所需的策略轉變。

本報告基於對領先供應商的訪談，將 GenAI 安全生態系統分類為三個解決方案類別：即時防禦、攻擊性測試和基於代理的AI 防禦。報告提出了資安長（CISO）的五大戰略必要事項，涵蓋全生命週期管治和自適應控制、攻擊性測試和安全設計等。報告還重點介紹了 GenAI 安全領域的三個高成長機會，強調了平台整合、中小企業友善解決方案和持續紅隊演練的必要性。最終，CISO 不再是安全隔離網閘，而是風險策略師和安全 AI主導創新的推動者。

As generative AI becomes deeply embedded in enterprise operations, fueling copilots, assistants, and automated agents, organizations face a wave of new and dynamic security risks. Traditional cybersecurity architectures are ill-equipped to address the fluidity, autonomy, and unpredictability of GenAI systems.

This report provides chief information security officers (CISOs) with a comprehensive roadmap to secure the enterprise adoption of GenAI technologies. It identifies key risk vectors, including prompt injection, data leakage, API exploitation, model poisoning, and shadow AI, and outlines strategic shifts required to mitigate them.

Drawing from interviews with leading vendors, the study maps the GenAI security ecosystem across three solution categories: real-time defense, offensive testing, and agentic AI protection. It delivers five strategic imperatives for CISOs, from lifecycle-wide governance and adaptive controls to offensive testing and secure-by-design adoption. The report also highlights three high-growth opportunities in GenAI security, underscoring the need for platform convergence, SME-friendly solutions, and continuous red teaming. Ultimately, the CISO emerges not as a gatekeeper but as a risk strategist and enabler of secure, AI-driven innovation.