AI-assisted hacking is outpacing traditional code reviews, NEAR co-founder says

Lời nói đầu:NEAR Protocol co-founder Illia Polosukhin argues that AI-powered hacking, which he says began last October with an incident involving Balancer, demands a shift from traditional code review to formal verification using mathematical proofs. While historically expensive and slow, AI can now generate most of these proofs, which can then be independently verified—as demonstrated by Zcash's Project Tachyon, which reduced years of work to weeks. Polosukhin advocates extending this approach beyond blockchain to all critical internet software. Separately, NEAR rolled out an upgrade introducing quantum-resistant account keys and automatic network scaling to meet emerging security and scalability demands.

Quick Take

  • NEAR co-founder Polosukhin called formal verification a necessary shift for securing blockchain code from AI hacking.
  • AI has cut some mathematical proof-generation work from years to weeks.

Artificial intelligence is supercharging hackers' ability to find software vulnerabilities faster than traditional security can patch them, according to NEAR Protocol co-founder Illia Polosukhin, who argues that developers should be turning to mathematical proofs to secure their code.

“I would actually say last October — I think Balancer was the first one — thats when AI-assisted hacking started,” Polosukhin said Monday in an interview with Gareth Jenkinson on The Block's The Starting Block podcast.

Polosukhin said cybersecurity up to this point has mostly involved “smart people” reviewing code and hoping that no one smarter finds something they missed. That mindset was already imperfect before the rise of AI, he said, but newer and more capable models are making it even less sustainable.

“We need a different way of thinking,” Polosukhin said. “It‘s not like, 'Oh, we’re going to review everything with a better model and hope that the next better model is not going to find it.'”

His proposed solution is formal verification that mathematically proves code “does what it says it does.” This process has been historically expensive, slow, and labor-intensive, but Polosukhin said AI can now help generate most of the necessary proof, which can then be independently checked.

“You dont need to rely on AI because the AI just produces the proof,” he said. “You just verify that the proof is correct.”

A recent Zcash initiative is an example of what Polosukhin is describing. Project Tachyon used AI-assisted verification to produce a mathematical proof that Zcash's Ironwood shielded pool cannot contain the same kind of undetectable counterfeiting bug that was found in its Orchard pool last month.

Project Tachyon said that advances in AI-assisted proof generation have reduced work that once took years down to a matter of weeks.

Polosukhin also argues that this approach should eventually go beyond smart contracts to critical internet and networking software.

“We need to fundamentally shift to building blockchain code — and honestly, all the code on the internet — to be formally verified,” he said.

Separately on Monday, NEAR rolled out an upgrade aimed at preparing the network for emerging security and scalability demands. Users can now switch to quantum-resistant account keys, while the network can automatically expand its capacity as activity grows.

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