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Kraken parent Payward uses Claude Mythos AI for security

Kraken's parent joins Anthropic's program using AI to hunt security flaws.

  • Kraken parent Payward has joined Anthropic’s Project Glasswing, using Claude Mythos 5 for Cybersecurity scanning.
  • Mythos 5 scans systems for vulnerabilities, with findings reviewed and patched through Payward’s existing security program.
  • Project Glasswing gives vetted organizations access to Anthropic’s cyber-capable AI models for defensive security work.

Kraken parent company Payward has joined Anthropic’s Project Glasswing, becoming the first reported crypto company to use the Claude Mythos 5 AI model to hunt for security flaws. The company said Monday that Mythos 5 will scan its systems for vulnerabilities, with findings sent to its security teams for review.

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The move follows an open letter from over 40 Bitcoin and crypto companies, including Kraken, sent last week to Anthropic, OpenAI, and other leading AI labs. The letter demanded frontier labs open trusted-access programs to qualified defenders to help guard against threats.

Project Glasswing is Anthropic’s cybersecurity program that gives vetted organizations access to its most capable cyber models. Launched in April and expanded in June, the program’s partners have since uncovered thousands of high- or critical-severity vulnerabilities.

Flaws found in third-party open-source software will be reported to project maintainers, the company said. Payward added that the approach could help protect its financial infrastructure and strengthen open-source software used across the crypto industry.

“Security has always been an unfair game. An attacker needs to find one flaw. A defender has to find all of them, first, every single day,” Payward Co-CEO Arjun Sethi said. “Frontier AI is the first thing that flips that asymmetry. A model can read every line of code the way an attacker would, at machine scale, so we find the flaw before anyone can build the exploit.”

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In April, Mozilla reported Anthropic’s Claude Mythos identified 271 vulnerabilities in Firefox during testing. The news comes amid growing evidence that AI models can be powerful tools for both finding and exploiting software vulnerabilities.

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