2026年，由於人工智慧系統的發展，在主流科技產品中發現的軟體安全漏洞數量激增，預計將比2025年增加一倍。例如，甲骨文、微軟和Google等科技巨頭在近期的更新中修復了創紀錄數量的安全漏洞，這主要歸功於AI模型在漏洞挖掘方面能力的提升。

儘管發現的漏洞數量大幅增加，但實際被駭客利用的漏洞數量並未成正比上升。這主要是因為科技公司的內部安全人員正在積極使用自己開發的AI安全工具來尋找並修復這些新漏洞，從而在駭客發動攻擊前就將其堵住。

然而，AI也讓駭客能夠比以往更快地將抽象的漏洞轉化為實際的攻擊。雖然目前尚未出現大規模的AI駭客災難，但隨著前沿AI模型在軟體漏洞發現方面的能力不斷增強，各界對未來可能出現的網路安全威脅仍保持高度警惕。

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.