How AI could make it harder for governments to use hacking tools | TechCrunch
2026-08-31 08:00Cybersecurity🔥 28.9 heat score
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Professor of cryptography Matthew Green argues that as artificial intelligence significantly improves the efficiency of detecting software vulnerabilities, it may lead to a scarcity of security flaws, making it difficult for law enforcement and intelligence agencies to solve cases through legitimate hacking methods. Green points out that there is an “unequal truce” between governments and technology companies: governments maintain their monitoring capabilities by investing in cracking tools, rather than relying on device backdoors. If vulnerabilities become increasingly rare in the future, governments may be forced to reinstall backdoors or purchase spyware to maintain their monitoring functions, which will reduce the security of all devices. Although encryption technology has made real-time eavesdropping difficult, Green believes that AI-driven large-scale vulnerability detection will change this balance. Several cybersecurity experts have different views on this issue; some agree with the trend of scarce vulnerabilities, while others are concerned that AI may change the way human hackers work.
密码学教授马修·格林提出,人工智能可能使软件漏洞变得稀缺,导致执法和情报机构无法合法对罪犯进行黑客攻击。格林此前在 X 平台发布争议性帖子并撰写长文博客,警告美国政府可能因公司修补海量漏洞而失去访问安全缺陷的机会,从而被迫要求重新植入后门或购买间谍软件以维持监控能力。尽管加密技术曾使实时窃听变得困难,但执法部门仍通过黑客手段破案,这得益于政府与科技公司之间的“不平等休战”,即政府投资购买破解工具而非依赖设备后门。格林认为,随着大型语言模型在规模化发现安全漏洞方面日益高效,软件将显著减少缺陷,最终可能导致政府再次要求设计上的后门,降低所有设备的安全性。多位网络安全专家对此观点持不同看法,部分人认同漏洞稀缺趋势,也有人担忧人工智能可能改变人类黑客的工作方式。