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AI Has Turned Software Security Into a Race You Can’t Afford to Lose

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Why This Matters

The rise of AI in software development has transformed security into a high-stakes race, where both attackers and defenders leverage AI to outpace traditional methods. This shift emphasizes the urgent need for real-time verification and security measures that match AI's speed, making cybersecurity a critical concern for the tech industry and consumers alike.

Key Takeaways

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Key Takeaways We gave AI the job of writing our code and lost the ability to verify it before it ships, but that’s only half of the problem.

The other half is that while you’re still trying to review what your own AI wrote, someone else’s AI is reading it too, and it is faster than you are.

For a decade, we chased a single number (how fast we could ship), and AI has now handed that number to everyone, including who or what is attacking you. So, speed is no longer the advantage.

The solution is proving, at the speed you now generate software, that what you are about to ship does what the business asked for and will hold up against someone actively trying to break it.

Sometime last September, a group working for a nation-state pointed an AI coding agent at roughly 30 companies, several of them major banks, and told it to break in. Then they mostly let it run on its own.

According to Anthropic, which disclosed the operation in November, the AI did an estimated 80% to 90% of the work itself: finding the weak points, writing the exploits and pulling out the data, faster than any human team could. A number of those companies were breached, and the people running the attack spent hardly any time on it.

I have spent much of this year arguing that we handed AI the job of writing our code and lost the ability to check it before it ships. That was only half of the problem.

The half of the story I underplayed

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