首席资讯安全长洞察：守护人工智慧网关

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个工作天内

价格

简介目录

利用生成式人工智慧确保企业间互动的安全

随着生成式人工智慧 (Generative AI) 越来越深入地融入企业运营，为副驾驶、助理和自动代理等应用提供动力，企业面临新一轮动态的安全风险。传统的网路安全架构已无法应对 GenAI 系统的流动性、自主性和不可预测性。

本报告为首席资讯安全安全长 (CISO) 提供了一份全面的蓝图，以确保企业采用 GenAI 技术，识别关键风险载体，包括提示注入、资料外洩、API 滥用、模型中毒和影子 AI，并概述缓解这些风险所需的策略转变。

该报告基于对领先供应商的访谈，将 GenAI 安全生态系统划分为三个解决方案类别：即时防御、攻击性测试和基于代理的 AI 防御。报告提出了首席资讯安全官 (CISO) 的五大战略必要事项，涵盖全生命週期管治和自适应控制、攻击性测试和安全设计等。报告还重点介绍了 GenAI 安全领域的三个高成长机会，强调了平台整合、中小企业友善解决方案和持续红队演练的必要性。最终，CISO 不再是安全隔离网闸，而是风险策略师和安全 AI主导创新的推动者。

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.