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Using AI to chart a course for our post-quantum migration
We’re building CryptoLabe, an internal AI-powered tool that discovers cryptography across our codebase, surfaces dependencies, and helps us progress toward a full post-quantum migration by 2029. Here’s what we’ve learned so far.
First, we want to help our product and engineering teams understand how cryptography is being used and how they should be upgrading it.
Many of our products have already been upgraded to post-quantum encryption over TLS 1.3, but we still want to cover the long tail of TLS connections, as well as upgrade any other uses of public-key encryption.
Just as an astrolabe helped sailors determine where they were and chart a course, CryptoLabe helps us discover cryptography in our code, understand how it is used, and chart a path to post-quantum migration.
Sentences selected automatically from the original article by The Cloudflare Blog.
We’re taking a maximalist stance (“PQ everything!”), because as an infrastructure provider to the world, we want to give our customers the peace of mind that using Cloudflare ensures that their traffic is future-proofed against quantum adversaries.
But how does one accomplish such a massive migration at an organization of our size and scale? After all, cryptography is the base layer for almost all of the world’s digital systems, including the software services and the networking protocols that power our platform.
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