# How Timeless Medical Systems uses Drata

**2x**: “Timeless Medical Systems Achieves 2x Vendor Risk Efficiency With Drata”

As published on [drata.com](https://drata.com/customers/timeless-medical), April 2026. Captured by usedby on 2026-10-07.

- Company: [Timeless Medical Systems](https://www.usedby.ai/companies/timeless-medical-systems.md)
- Tool: [Drata](https://www.usedby.ai/tools/drata.md)
- Teams: Security, GRC

## What the story says

Timeless Medical Systems uses Drata to automate SOC 2 readiness and continuous compliance, centralizing policies, controls, and evidence in one platform. It also uses Drata's Vendor Risk Management to evaluate and track third-party risk, manages additional frameworks, and has set up a Trust Center for customer self-service access to security information.

Summary written by usedby from the source page, in English. The figures are those of Drata and Timeless Medical Systems, not ours.

> Drata’s Vendor Risk Management capabilities enabled the team to review documentation, record gaps, track follow-ups, and add custom fields to pull specific vendor risk data directly into the dashboard for a true single-pane view.

> Drata helped us get SOC 2 ready in a quick manner without having to increase headcount.
>
> Jodi Page, Information Security Program Manager

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure 2x is printed word for word on the page, near the name of Timeless Medical Systems.
- Checked: the passage quoted above is copied word for word from the page, near the name of Timeless Medical Systems.
- Checked: each number in our summary is printed on the page.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Timeless Medical Systems uses Drata. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/timeless-medical-systems-drata · How we check: https://www.usedby.ai/methodology