arXivDaily arXiv每日学术速递 周一至周五更新
北美退伍军人节(Veterans Day),12 日无更新
arXiv 2606.20102cs.CYcs.CR
收藏

人工智能作为网络安全游戏规则改变者:2025-2026年我们学到的,以及这对非洲的意义

Artificial Intelligence as Game Changer in Cybersecurity: What We Learned in 2025-2026, and how this is relevant for Africa

Holon Institute of Technology(霍隆理工学院)

Mikael Alemu Gorsky

AI总结:

本文通过2025-2026年两个事件论证前沿语言模型已成为网络作战决定性工具,而非洲在模型构建、运营和获取上被完全排除,面临技能、算力和投资三重赤字,并遭受AI欺诈攻击,建议在6-12个月内通过威胁情报共享、治理采纳和伙伴关系应对。

摘要:

在2025年和2026年,两个事件解决了此前仅是推测的问题。第一个事件中,一个大型语言模型独立执行了国家支持的网络间谍活动的大部分任务,人类操作员仅在少数决策点介入。第二个事件中,最强大的网络相关模型被置于一个受控访问计划之下,仅限于经过审查的美国科技公司、盟国政府和欧洲标准机构;该范围不包括任何非洲政府、运营商或大学。这两个事件共同确立了本文的论点:前沿语言模型已成为网络作战的决定性工具,而该工具在一个小圈子内建造、拥有和配给,非洲被排除在外。本文记录了非洲在每一方面的排斥。该大陆不构建前沿模型,尚无法运营它们,并且目前无法获得最强大的模型。运营赤字沿着三个轴心展开:技能人才、计算和电力、投资,每个都根据当前数据衡量;与此同时,针对非洲移动货币系统(该大陆领先的数字经济部分)的AI欺诈攻击已经在增加。由此产生两个约束:开发者对前沿模型的把关(非洲决策无法打开),以及对基础设施供应商的选择性依赖(现已陷入地缘政治限制)。由于可比较但不受把关的模型预计在6至12个月内扩散,本文主张通过威胁情报共享、治理采纳和伙伴关系,在非洲人自主条件下,在该窗口内采取应对措施。

英文摘要:

In 2025 and 2026, two events settled questions that had until then been speculative. In the first, a large language model executed the great majority of a state-aligned cyber-espionage campaign on its own, with human operators intervening at only a few decision points. In the second, the most capable cyber-relevant model was placed under a controlled-access program limited to a vetted set of United States technology firms, allied governments, and European standards bodies; that perimeter included no African government, operator, or university. Together the two events establish the argument of this paper: frontier language models have become a decisive instrument of cyber operations, and that instrument is built, owned, and rationed within a small circle from which Africa is absent. The paper documents Africa's exclusion on every count. The continent does not build frontier models, cannot yet operate them, and cannot, for now, obtain the most capable ones. The operational deficit is set out along three axes, skilled people, compute and electrical power, and investment, each measured against current figures; meanwhile AI-enabled fraud is already mounting against African mobile-money systems, the part of the digital economy the continent leads. Two constraints follow: the gating of frontier models by their developers, which no African decision can open, and a chosen dependence on infrastructure vendors now caught in geopolitical restriction. Because comparable but ungated models are forecast to spread within six to twelve months, the paper argues for a response that operates inside that window through threat-intelligence sharing, governance adoption, and partnership, undertaken by Africans on their own terms.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑