Fleet launches autonomous endpoint management platform to counter AI-accelerated exploits

Open device management company Fleet Device Management Inc. today announced its new autonomous endpoint management platform.

The company says it shrinks enterprise patch cycles from the industry average of 55 to 94 days to under two weeks and, in many cases, to hours, as artificial intelligence accelerates both vulnerability discovery and exploitation.

The announcement comes as security researchers warn that frontier AI models, including Anthropic PBC’s Claude Mythos, will sharply lower the barrier to automated exploit development. Anthropic released Claude Mythos Preview as a gated research preview in April, citing cybersecurity capabilities that “far exceed any prior model.” Vulnerabilities are already being weaponized 100 times faster on average in 2026 than three years ago, Fleet said, citing industry data.

Fleet’s new platform continuously monitors software releases and vulnerability disclosures, then patches affected devices or applies mitigations such as removing outdated versions without manual intervention.

Policy reviews run hourly by default and cover devices that include Macs, Windows PCs, iPhones, iPads, Android handsets, Chromebooks and desktop Linux. The service also includes a 30-day reporting module that shows which devices were running outdated software and for how long to let information technology teams calculate mean time to patch without bolting on a separate tool.

The policy engine compares installed software, configurations and system metrics against known vulnerability databases and the latest available releases. Patch rollouts support ring deployments, exclusions and role-based scoping, which Fleet says is designed to avoid the application crashes and workflow disruptions that have historically slowed enterprise patching.

Fleet points to research from Gartner Inc. that estimates autonomous endpoint management tools can cut patch cycles that can take 55 to 94 days down to six to 13 days, an 87% reduction. Gartner projects that more than half of organizations will adopt the technology by 2029, up from close to zero in 2024.

Customers using Fleet include Fastly Inc., Uber Technologies Inc., Reddit Inc., Stripe Inc. and AI coding startup Cursor. Dan Jackson, senior manager of systems engineering at Fastly, said that the platform delivered “real-time confidence in the health and compliance of our global infrastructure every single day” and removed the operational overhead of legacy tools. A principal endpoint engineer at an unnamed consumer electronics company migrating from a legacy system said configuring patch policies typically takes about five minutes per application.

Mike McNeil, co-founder and chief executive of Fleet, said the platform prioritizes auditability and human review even as patching becomes automated. “Now that auto-patching is becoming inevitable for every organization, auditability, undo-ability and special exceptions are even more important, especially for large enterprises where you’re managing tens of thousands of devices,” he said. “You need humans in the loop to prevent costly mistakes and outages.”

Fleet is venture capital-backed startup that has raised $52.9 million in funding, including a round of $27 million in June. Investors in the company include CRV, Ten Eleven Ventures, Open Core Ventures, Moonfire Ventures LLP, GitLab Inc. co-founder Sid Sijbrandij and Vercel Inc. CEO Guillermo Rauch.

Image: Fleet