The Intersection of Encryption and AI - Schneier on Security

In this reflective piece from June 2026, Bruce Schneier revisits his 2010 argument that cryptography is ill-suited to solve major network security problems. He explains that while cryptography has inherent mathematical properties favoring defenders—such as key length increases benefiting defenders more than attackers—computer security as a whole is a fragile, fast-moving arms race where advantages can shift overnight. Schneier notes that cryptography is necessary but not sufficient for cybersecurity, as it must be implemented in software, hardware, networks, and operated by users, each step introducing vulnerabilities. Turning to AI, he observes that artificial intelligence is not advancing cryptography but is changing cybersecurity dramatically. AI has demonstrated superhuman ability to find software vulnerabilities and write exploits, with similar patch-writing capabilities likely emerging. This development has profound implications for both attackers and defenders, and Schneier concludes it remains unclear who will win this particular arms race in what he calls a world of "instant software." The post includes reader comments discussing AI's limitations, resource constraints, and historical context about Schneier's influential book Applied Cryptography.

https://www.schneier.com/blog/archives/2026/06/the-intersection-of-encryption-and-ai.html

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