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fleet/articles/global-technology-platform.md
Eric f19cc81772
Website: automatically add case study links to the /customers page (#42088) 
Closes: https://github.com/fleetdm/fleet/issues/41799 

Changes:
- Added support for a new required meta tag for anonymous case study
articles: `cardTitleForCustomersPage`. The value of this meta tag is
used as the title of the automatically generated card link for the
article on the /customers page.
- Added support for a new meta tag for anonymous case study articles:
`cardBodyForCustomersPage`. If provided, the card link for the article
will use this value for the body text, if not provided, the card link
will display the `articleTitle` meta tag value.
- Updated the /customers page to automatically create card links for
case study articles that have `useBasicArticleTemplate` and
`cardTitleForCustomersPage` meta tags.
2026-03-19 13:19:22 -05:00

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Global technology platform improves vulnerability intelligence with Fleet

A global technology and transportation platform operates one of the world’s largest distributed infrastructures. Supporting mobility, delivery, and logistics services across the globe requires reliable security and visibility across thousands of devices.

The company manages fleets of macOS, Windows, and Linux systems used by engineers and internal teams worldwide. As the environment grew, they needed better data to understand what was actually running across their fleet.

At a glance

  • Industry: Technology and transportation platform

  • Devices managed: 8,000+ of macOS, Windows, and Linux hosts

  • Primary requirements: High-quality software inventory, osquery visibility, GitOps workflows

  • Previous challenge: Inconsistent inventory data and limited visibility across platforms

The challenge: incomplete inventory at massive scale

At their scale, traditional device management tools struggled to provide reliable data.

The team needed accurate answers to basic questions:

  • What software versions are running across the fleet?

  • Which vulnerabilities are actually present on devices?

  • Which systems require immediate remediation?

Existing tools often lacked the depth required to answer those questions confidently. Software inventory data was inconsistent, especially across Linux servers and developer workstations.

Without high-fidelity inventory data, vulnerability management became noisy. Security teams were forced to investigate theoretical risks instead of focusing on real exposure.

The evaluation criteria

During evaluation, Fleet had to meet three key requirements:

  1. Full osquery integration
    Provide deep, SQL-based visibility into device state and software inventory.

  2. GitOps workflows
    Allow configuration changes to be managed as code with peer review and version control.

  3. Advanced vulnerability management
    Deliver accurate software inventory and enable automated CVE triaging.

The team also wanted a unified approach across macOS, Windows, and Linux instead of maintaining separate tools and data pipelines.

The solution: high-fidelity data for security workflows

The Fleet API powers custom automation, including cloud-based agents that:

  • Pull software inventory data

  • Cross-reference vulnerabilities with internal risk scores

  • Automatically prioritize remediation tasks

Instead of reacting to thousands of potential CVEs, the security team can focus on the vulnerabilities that actually exist in their fleet.

Fleet also integrates with the company’s internal security tooling. Device telemetry streams directly into their monitoring and incident response systems, giving the security team real-time insight into changes across the environment.

Minimal disruption for engineers

Fleet was layered into the company’s existing infrastructure to improve visibility without disrupting the daily work of engineers. Because the approach is transparent and code-driven, engineers can understand exactly how their systems are being monitored.

This transparency supports a high-trust engineering culture while still strengthening the company’s security posture.

The results: prioritization instead of noise

The biggest impact has been better decision-making.

With accurate device data and real-time telemetry, the team can now prioritize vulnerabilities based on actual risk rather than theoretical severity. This shift saves thousands of engineering hours that would otherwise be spent investigating low-impact alerts.

Fleet also allows the organization to normalize asset data across operating systems. A unified osquery approach, combined with a single API, provides consistent visibility and compliance across their global fleet.

Why they recommend Fleet

If speaking to another technology leader, their message is simple:

The value of Fleet is the quality of the data.

Fleet transforms endpoint telemetry into a reliable source of truth for security teams. Accurate software inventory and vulnerability visibility allow organizations to treat device data as a strategic asset, not just an operational detail.

About Fleet

Fleet is the single endpoint management platform for macOS, iOS, Android, Windows, Linux, ChromeOS, and cloud infrastructure. Trusted by over 1,300 organizations, Fleet empowers IT and security teams to accelerate productivity, build verifiable trust, and optimize costs.

By bringing infrastructure-as-code (IaC) practices to device management, Fleet ensures endpoints remain secure and operational, freeing engineering teams to focus on strategic initiatives.

Fleet offers total deployment flexibility: on-premises, air-gapped, container-native (Docker and Kubernetes), or cloud-agnostic (AWS, Azure, GCP, DigitalOcean). Organizations can also choose fully managed SaaS via Fleet Cloud, ensuring complete control over data residency and legal jurisdiction.