GoKawiilAI-driven bug fixes could dry up government hacking tools, researcher warns
Cryptography professor Matthew Green argued in a widely discussed post that AI's growing ability to find and patch software vulnerabilities could eliminate the security flaws that law enforcement and intelligence agencies rely on to hack devices. He noted this threatens an existing 'truce' in which governments buy spyware and exploits rather than demanding encryption backdoors, since encrypted apps like Signal and iMessage already stymie wiretapping.
GoKawiil's interpretation of the reporting above, not reported fact.
For years, the tension between strong encryption and law enforcement access has been managed through paid hacking tools rather than legal mandates for backdoors. If AI makes software dramatically more secure by eliminating exploitable bugs, governments may lose that workaround entirely, potentially reigniting political pressure for encryption backdoors or new surveillance laws.
- Matthew Green warns AI could shrink the pool of exploitable software bugs governments depend on.
- Authorities have relied on spyware and hacking tools instead of encryption backdoors as a compromise.
- A bug-scarce future could revive the 'going dark' debate and pressure for new surveillance mandates.
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See Yubico YubiKey 5 NFC Security Key on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: techcrunch.com — Lorenzo Franceschi-Bicchierai, 2026-08-31
Published there as: “How AI could make it harder for governments to use hacking tools”
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