5G保全的AI所扮演的角色

本报告提供5G保全的AI所扮演的角色调查，彙整5G流量的现状，通讯保全的AI的主要的使用案例，引进的风险与优点，保全产品和供应商范例，主要企业生态系统等资料。

实际好处：

• 确定人工智慧在通讯安全方面的关键用例和优势
• 了解人工智慧整合的风险
• 区分不同通讯安全应用的人工智慧方法和风险阈值
• 您可以了解该领域对人工智慧的需求

重要问题的答案：

• 行动网路营运商 (MNO) 如何看待人工智慧及其对安全的影响
• 安全实施的主要风险和策略是什么？
• 为什么通讯安全需要人工智慧？

研究亮点：

• 量化 5G 流量并支援安全自动化需求
• 分析客户意识和方法、已解决的问题以及遇到的风险
• 基于通讯人工智慧的安全产品和供应商推广这些产品的范例

目录

主要调查结果

主要的预测

主要企业生态系统

Actionable Benefits:

• Identify key use cases and benefits for Artificial Intelligence (AI) in telco security.
• Understand the risks of AI integration.
• Differentiate AI methodologies for various telco security applications and risk thresholds.
• Contextualize the need for AI in this space.

Critical Questions Answered:

• What are the attitudes among Mobile Network Operators (MNOs) about AI and its security impact?
• What are the key risks and strategies for safe implementation?
• Why is AI needed in telco security?

Research Highlights:

• 5G traffic quantification, supporting the need for increased security automation.
• Analysis of customer attitudes and approaches, problems solved, and risks engendered.
• Examples of telco AI-based security products and the vendors advancing them.

Who Should Read This?

• Security leaders and innovators in MNOs.
• Product marketing leaders for security vendors.
• Innovators researching and integrating AI for security vendors.
• Policy creators for AI and security in MNOs.

TABLE OF CONTENTS

Key Findings

Key Forecasts

Key Companies and Ecosystems