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PANW, NET: Anthropic’s Project Glasswing Update Casts Spotlight on Cybersecurity Stocks

Story Highlights
  • Anthropic said its Claude Mythos AI model found ten thousand security vulnerabilities
  • Cloudflare and Palo Alto Networks have found the model to be highly useful for bug detection
PANW, NET: Anthropic’s Project Glasswing Update Casts Spotlight on Cybersecurity Stocks

Anthropic, in an initial update published on Friday, spotlighted the role Palo Alto Networks (PAWN) and Cloudflare (NET) have played over the past few weeks in its Project Glasswing.

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Anthropic Finds Thousands of Security Vulnerabilities

The AI startup noted that the cybersecurity companies, alongside the remaining 48 of its partners, have used its Claude Mythos AI model to flag ten thousand high- or critical-severity vulnerabilities across the most important software systems in the world.

The startup launched Project Glasswing early last month as a collaborative digital defense project to strengthen critical software infrastructure systems to prevent their exploitation by malicious actors who could weaponize increasingly capable AI tools.

Cybersecurity stocks rallied following the launch of the project. The initiative includes cybersecurity company CrowdStrike (CRWD), tech giants such as Microsoft (MSFT) and Amazon (AMZN), and financial firms such as JPMorgan (JPM).

Cloudflare, Palo Alto Networks Test Anthropic’s AI Model

Providing an update on the project, Anthropic said partners have reported that their bug detection in software and IT systems has jumped tenfold from using the AI model.

For instance, Cloudflare detected 2,000 bugs across their “critical-path systems,” with 400 of them being high- or critical-severity vulnerabilities. The California-based cybersecurity company also found that the model helped to record fewer “false alarms” than human testers usually do.

Anthropic also reported that Palo Alto Networks’ latest release saw five times more fixes than usual from using Claude Mythos

“Progress on software security used to be limited by how quickly we could find new vulnerabilities,” Anthropic noted in a blog post. “Now it’s limited by how quickly we can verify, disclose, and patch the large numbers of vulnerabilities found by AI.”

The update comes as analysts have dismissed fears that AI models could render traditional cybersecurity companies obsolete, noting that these companies have a wealth of experience to benefit from and help strengthen AI in cybersecurity.

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