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Fleet Device Management Joins Anthropic's Project Glasswing to Advance Defensive Security Research

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News provided by

Fleet Device Management

Sep 15, 2026, 09:00 ET

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On the company's six-year founding anniversary, this collaboration demonstrates Fleet's commitment to product security and industry knowledge sharing

SAN FRANCISCO, Sept. 15, 2026 /PRNewswire/ -- Fleet Device Management, the AI device management platform for top IT and security teams, today announced that it has joined Project Glasswing, Anthropic's controlled-access program for Claude Mythos Preview. Fleet will evaluate how frontier AI can strengthen the security of device management systems, MDM protocols and the infrastructure that supports them. The company, which was formed exactly six years ago today, will explore how these capabilities can improve defensive workflows, including understanding endpoint state, identifying remediation priorities and increasing the speed and safety of internal security operations.

As organizations increasingly rely on AI to operate and secure thousands of devices, endpoint management must go beyond keeping systems up to date. Modern approaches should empower organizations to make safe, automated changes fast enough to keep pace with the speed, sophistication and scale of threats in the AI era.

"The speed of today's AI-driven attacks has fundamentally changed what organizations expect from their technology providers," said Gabe Chan, Staff IT Engineer at Abridge. "Vulnerabilities are manipulated by bad actors almost instantaneously now. As a result, vendors must continuously improve how they identify, evaluate and respond to risk. We're encouraged to see Fleet investing in research that helps strengthen its own security while contributing practical learnings back to its customers and the industry."

Fleet's recent Road to AI in IT research found that 79% of organizations take more than a day to deploy critical security patches to browsers, operating systems, and extensions, even as attackers increasingly exploit vulnerabilities within hours, highlighting the clear gap between how quickly threats emerge and the pace at which IT teams can actually find and mitigate them. Fleet's participation in Project Glasswing reflects its own commitment to closing that gap by continuously improving how rapidly and safely it can identify, evaluate and respond to security risks.

Early access also allows Fleet to test emerging AI capabilities against real-world endpoint management and security operations before general release.

"As a company that specializes in making IT and security teams' lives easier, celebrating Fleet's founding anniversary with a renewed commitment to our own product security feels fitting," said Mike McNeil, CEO and co-founder of Fleet. "We are all about community and transparency. Since Fleet is open source, this Anthropic collaboration will help our customers and the wider security community understand where frontier AI can meaningfully improve the security of endpoint management workflows."

"As always, we'll share the lessons and best practices we develop in the open," said Dhruv Majumdar, VP, Security Solutions at Fleet. "Everyone in the broader device management and endpoint security community can build on them."

To learn more about Project Glasswing and its participating partners, visit https://www.anthropic.com/glasswing.

About Fleet (fleetdm.com):

Fleet is the open device management, patch management, AI/endpoint governance, and vulnerability management platform for Macs, PCs, iPhones, iPads, Android, Chromebooks, desktop Linux, robotics, and cloud infrastructure. Organizations in 90 countries use Fleet to manage millions of devices at scale, enhance security, and stay compliant.  The company's mission is to bring transparency, efficiency, and control to the world of computing devices through its open and extensible platform.  Learn more at fleetdm.com.

For media inquiries, please contact:
Alyssa Pallotti Tech PR for Fleet Device Management
[email protected]
+447397686566

SOURCE Fleet Device Management

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