The use case: how Vanta deploys Dust
Vanta's go-to-market teams build Dust agents that capture expertise from functions like GRC, finance and product, expose them as APIs, and combine them in automations such as quarterly business review prep. An agent in Slack also answers security and compliance questions with human review before responses go out.
More reported results
Figures published in Dust’s case study. They are not independently measured by usedby.
Automating QBR prep alone reclaimed around two hours per week per rep.
“Just as an example, we recently hosted a Dust training for the whole organization and over 180 people showed up,” Shashank says.
In the customer’s words
It used to take hours. Now, with Dust, slides contain insights we would have missed before.Other AI tools used by Vanta
Other public relationships recorded on usedby.
Explore Vanta’s AI stack
Dust users in Cybersecurity
Companies in the same sector, with public evidence.
See all Dust customers
Go straight to the source
Based on Dust’s published case study. We check the public evidence; the results are reported by the vendor.
dust.tt- Source published
- Dec 17, 2025
- Last checked
- Oct 24, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 400 hoursChecked
Printed word for word on the page, near the name of Vanta.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Vanta.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- Vanta uses DustChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Automating QBR prep alone reclaimed around two hours per week per rep. Between 200 reps, this is around 400 hours saved per week, or thousands of collective hours a year.