# How Asana uses Datadog

As published on [asana.com](https://asana.com/inside-asana/asana-leverages-aws-inspector-visibility-infrastructure-vulnerabilities). Captured by usedby on 2026-11-14.

- Company: [Asana](https://www.usedby.ai/companies/asana.md)
- Tool: [Datadog](https://www.usedby.ai/tools/datadog.md)
- Industry: [Workplace Software](https://www.usedby.ai/companies/industry/workplace-software.md)
- Teams: Security Development

## The use case: how Asana deploys Datadog

Asana's security team builds a custom record of actively deployed container images using the Datadog Containers API together with an internal deployment registry. The pipeline uses this record to filter out findings from inactive images in AWS Inspector's vulnerability reports.

Summary written by usedby from the source page, in English. The figures are those of Datadog and Asana, not ours.

> To filter out inactive images, we maintain a custom record of active images - sourced from the Datadog Containers API and an internal deployment registry which maps each deployed application to its ECR image.

## Other AI tools used by Asana

- [Common Room](https://www.usedby.ai/tools/common-room.md) — Confirmed
- [Drata](https://www.usedby.ai/tools/drata.md) — Confirmed
- [Hightouch](https://www.usedby.ai/tools/hightouch.md) — Confirmed
- [Claude](https://www.usedby.ai/tools/claude.md) — Observed
- [Cohere](https://www.usedby.ai/tools/cohere.md) — Observed
- [Dialpad](https://www.usedby.ai/tools/dialpad.md) — Observed

## Datadog users in Workplace Software

- [Evernote](https://www.usedby.ai/companies/evernote.md) — Observed

## What usedby checked

We compared the story with its live page on 2026-11-14.

- Checked: the passage quoted above is copied word for word from the page, near the name of Asana.
- Checked: Asana uses Datadog. Confirmed line. Latest check across sources: 2026-11-14.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/asana-datadog · How we check: https://www.usedby.ai/methodology