电信巨头AT&T (T.N) 和 T-Mobile (TMUS.O) 正在加大投入，以保护客户数据和网络基础设施免受新型网络安全威胁的侵害，因为AI融合步伐加快，尽管完全自主网络仍需数年才能实现，公司高管向路透社表示。
Telecom giants AT&T (T.N) and T-Mobile (TMUS.O) are investing to safeguard customer data and network infrastructure from new cybersecurity threats as AI integration ramps up, though fully autonomous networks remain years away, company executives told Reuters.
随着AI智能体实现工作流和数据分析自动化，人工干预逐渐减少，各行业对敏感信息和连接软件的访问安全担忧日益加剧。
As AI agents automate workflows and data analysis, with declining human intervention, cybersecurity concerns are growing across industries over access to sensitive information and connected software.
对于管理海量客户数据和关键通信基础设施的电信运营商而言，AI系统或第三方软件中的漏洞可能导致从数据泄露到网络中断等一系列后果。
For telecom operators, which manage vast amounts of customer data and critical communications infrastructure, vulnerabilities in AI systems or third-party software could extend from data breaches to network disruptions.
“是的，我们正在增加在监测和响应方面的投入，”T-Mobile首席技术官John Saw在路透社全球市场论坛上表示。他补充说，公司同时与供应商合作，确保安全漏洞尽快得到修补。
"Yes, we are increasing our investments in how we monitor and react," T-Mobile's Chief Technology Officer John Saw told the Reuters Global Markets Forum. The company simultaneously works with vendors to ensure security holes are closed as soon as possible, he added.
这家总部位于华盛顿州贝尔维尤的无线运营商曾遭遇多起数据泄露事件，包括2021年和2023年的事故，累计影响超过1亿个客户账户。它已同意与消费者和联邦通信委员会达成多项和解，涉及网络安全罚款和投资。
The Bellevue, Washington-based wireless carrier has suffered several data breaches, including incidents in 2021 and 2023, cumulatively impacting over 100 million customer accounts. It has agreed to various settlements with consumers and the Federal Communications Commission involving cybersecurity penalties and investments.
与此同时，AT&T警告称，第三方软件供应商和AI智能体构成的网络安全风险超出了运营商自有网络的范围。
AT&T, meanwhile, warned that third-party software providers and AI agents pose cybersecurity risks that extend beyond operators' own networks.
“存在行业性问题，并非AT&T一家公司能够解决，”首席技术官Jeremy Legg表示，并质疑开源社区是否遵循了同等的安全标准。
"There (are) industry problems, not things that AT&T can solve by itself," CTO Jeremy Legg said, questioning if the open-source community followed comparable security standards.
这家总部位于得克萨斯州的公司已部署AI治理控制措施，如加密、多因素认证和对数据访问的人工监督。公司表示，还在努力核实寻求访问客户账户的第三方AI智能体是否代表合法客户行事。
The Texas-based company has deployed AI governance controls such as encryption, multi-factor authentication and human oversight of data access. It is also working to verify whether third-party AI agents seeking access to customer accounts are acting on behalf of legitimate customers, the company said.
人工智能已为电信运营商实现了网络管理某些方面的自动化，但将整个网络移交给人工智能驱动的自主系统仍“还需要数年时间”，Legg 表示，因为解决复杂的网络问题仍需要人工干预。
AI has automated aspects of network management for telecom operators, but handing over entire networks to AI-driven autonomous systems is still "years away," Legg said, as human intervention is still required to solve complex network problems.
例如，AT&T 已将分析故障工单以识别潜在修复方案等部分任务实现自动化，并在某些情况下自动实施维修。与此同时，T-Mobile 利用人工智能在附近基站瘫痪时自动调整小区天线，以弥补覆盖盲区。
For instance, AT&T has automated some tasks such as analyzing trouble tickets to identify potential fixes and, in some cases, automatically implementing repairs. T-Mobile, meanwhile, uses AI to automatically adjust cell-site antennas when nearby sites go down to compensate for coverage gaps.
Saw 表示，在 1 月的“费恩”冬季风暴期间，T-Mobile 的自组织网络（SON）在一小时内为约 66% 的客户恢复了覆盖，八小时内为 90% 的客户恢复了覆盖，大多数客户在电力恢复前就已重获服务。
During Winter Storm Fern in January, T-Mobile's self-organizing network, or SON, restored coverage to about 66% of customers within an hour and 90% within eight hours, with most customers regaining service before power was restored, Saw said.
（加入 GMF，这是一个托管在 LSEG Messenger 上的聊天室，可进行实时采访：
(Join GMF, a chat room hosted on LSEG Messenger for live interviews: