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This article analyzes how AI-driven automated patching could drastically reduce the availability of software vulnerabilities, potentially rendering current government hacking tools and spyware obsolete. The core tension discussed is whether this increased security will force a return to controversial backdoor mandates or disrupt the existing balance between law enforcement access and user privacy.
Sources coveringTechCrunch, LessWrong, Fortune, InfoQ
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

How AI could make it harder for governments to use hacking tools

TechCrunch5 min read

AI is proving effective at finding and exploiting vulnerabilities. Some say this will make it harder for governments to use hacking tools and spyware and could reignite calls to backdoor devices.

Earlier in August, cryptography professor Matthew Green wrote a controversial thread on X and a longer blog post that went viral within the cybersecurity community. Green, who has long been a close observer of the debate around the use of hacking tools by governments to fight crime and the need for strong encryption to protect the privacy of innocent people, posited a provocative thought: What if AI makes bugs so scarce that law enforcement and intelligence agencies are unable to lawfully hack criminals anymore? “I’m concerned that AI is going to make software much too secure,” Green wrote, warning that the…

Excerpt shown under the publisher's RSS terms · 101 words · full text and figures are on the publisher's site

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