2026年，由于人工智慧系统的发展，在主流科技产品中发现的软体安全漏洞数量激增，预计将比2025年增加一倍。例如，甲骨文、微软和Google等科技巨头在近期的更新中修复了创纪录数量的安全漏洞，这主要归功于AI模型在漏洞挖掘方面能力的提升。

尽管发现的漏洞数量大幅增加，但实际被骇客利用的漏洞数量并未成正比上升。这主要是因为科技公司的内部安全人员正在积极使用自己开发的AI安全工具来寻找并修复这些新漏洞，从而在骇客发动攻击前就将其堵住。

然而，AI也让骇客能够比以往更快地将抽象的漏洞转化为实际的攻击。虽然目前尚未出现大规模的AI骇客灾难，但随著前沿AI模型在软体漏洞发现方面的能力不断增强，各界对未来可能出现的网路安全威胁仍保持高度警惕。

In 2026, the number of software security flaws discovered in popular technology products is surging, expected to double the 2025 figures due to advancements in artificial intelligence systems. Tech giants like Oracle, Microsoft, and Google have patched a record number of security vulnerabilities in recent updates, primarily driven by the enhanced capabilities of AI models in vulnerability discovery.

Despite the massive increase in discovered flaws, there has been no proportional rise in the number of vulnerabilities actually exploited by hackers. This is mainly because internal security personnel at tech companies are actively utilizing their own AI-powered security tools to find and patch these new vulnerabilities before they can be exploited in the wild.

However, AI is also enabling hackers to turn abstract vulnerabilities into working exploits much faster than before. While a massive AI-driven hacking disaster hasn't materialized yet, the growing proficiency of frontier AI models in uncovering software flaws keeps governments and security firms on high alert for future cybersecurity threats.