从数据角度来看,人工智能正在深度嵌入整个防御链条。在战略层面,人工智能可用于场景推演、预警分析、模拟决策; at the operational and tactical level, AI has been used for intelligence processing, target identification, unmanned system collaboration, and real-time situational awareness. The report shows that the technical maturity of generative and analytical AI has reached TRL7-8, which is suitable for deployment in real environments.然而,它也显着放大了系统被攻击和操纵的风险。
安全风险的核心集中在系统安全、供应链、数据和人才四个方面。人工智能模型面临数据中毒、对抗性样本和模型攻击等威胁。高端芯片和半导体的供应高度集中,使得欧洲在结构上依赖计算能力和硬件。 The EU has proposed to achieve a goal of 20% of global chip production capacity by 2030. It is essentially using industrial policy to hedge the risks of geopolitical and technological blockades.
在量子维度,报告强调了“先收集,后解密”的紧迫威胁。 As quantum computing capabilities improve, the existing public key encryption system faces the risk of failure around 2030. Post-quantum cryptography has reached a deployable stage and its technological maturity is comparable to that of AI.然而,延迟部署将直接危及指挥控制、通信和关键基础设施的长期安全。量子不是一种颠覆性策略,但它决定了数字基础是否值得信赖。
总体趋势表明,欧洲安全的关键不在于是否采用人工智能和量子技术,而在于是否以“安全第一”的方式完成系统迁移。未来十年,国防竞争将更多地是软件更新速度、数据管理能力和加密系统预见性等方面的竞争。 Whoever can take the lead in realizing the collaborative implementation of trusted AI and quantum security will be able to gain more stable strategic resilience in an uncertain geopolitical environment.