5G保全的AI所扮演的角色

本報告提供5G保全的AI所扮演的角色調查，彙整5G流量的現狀，通訊保全的AI的主要的使用案例，引進的風險與優點，保全產品和供應商範例，主要企業生態系統等資料。

實際好處：

• 確定人工智慧在通訊安全方面的關鍵用例和優勢
• 了解人工智慧整合的風險
• 區分不同通訊安全應用的人工智慧方法和風險閾值
• 您可以了解該領域對人工智慧的需求

重要問題的答案：

• 行動網路營運商 (MNO) 如何看待人工智慧及其對安全的影響
• 安全實施的主要風險和策略是什麼？
• 為什麼通訊安全需要人工智慧？

研究亮點：

• 量化 5G 流量並支援安全自動化需求
• 分析客戶意識和方法、已解決的問題以及遇到的風險
• 基於通訊人工智慧的安全產品和供應商推廣這些產品的範例

目錄

主要調查結果

主要的預測

主要企業生態系統

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