# AI feature disclosure inside the trust center

> Publish one structured trust-center page that explains which product features use AI, what models and data are involved, and what controls govern them.

- Canonical HTML: https://growth.iangoh.com/growth-ideas/ai-feature-disclosure-inside-the-trust-center/
- Source: [drata.com](https://drata.com/blog/introducing-ai-feature-items)
- GrowthDex source hub: [Drata](/sources/drata-drata-com/)
- Last checked: 2026-05-28
- Rarity: rare
- Budget: free
- Channels: Website, Security, AI Discovery
- Stages: consideration, security review, ai transparency, b2b
- Key metric: Drata frames AI trust-center disclosures as a way to reduce repetitive buyer follow-up during reviews.

## Why this can grow

AI objections increasingly show up in security and procurement review, not only in marketing copy. Drata's AI Feature Items product is built around that exact pattern: buyers ask model, data-handling, and governance questions before signing. Putting those answers inside the trust center gives reviewers a durable place to self-serve and keeps the company from rewriting slightly different answers in every deal.

## Ian's take

From scaling consumer platforms across MENA and Southeast Asia, my default is to distrust growth work that only looks good in a slide. My bias is to treat this as a small market test first. Make the audience narrow, make the promise concrete, and let the first real response decide whether it deserves more work. I would run it small enough to learn quickly, then only scale the parts that real users repeat, save, reply to, or buy from. For this tactic, I would watch one clear growth signal before putting more time or budget behind it.

## Action plan

1. Define one narrow startup segment where ai feature disclosure inside the trust center can create a measurable lift.
2. Turn the tactic into one offer, page, campaign, or workflow for the Website and Security channel.
3. Use the evidence from drata.com to set the first version of the message, format, and audience.
4. Launch a small test for 7 to 14 days with one success metric: one measurable growth signal.
5. Review the result, keep the winning message, remove weak variants, and turn the learning into a repeatable growth playbook.

## Source-backed example

Drata added AI Feature Items so teams can publish structured AI disclosures in the trust center, including feature, model, data, and governance details.

## Adjacent tactics in the same lane

- [AI disclosure structured by feature, model, data, and controls](/growth-ideas/ai-disclosure-structured-by-feature-model-data-controls/) - same source, 3 shared channels, 4 shared stages
- [AI governance disclosure with bias, data, testing, and oversight](/growth-ideas/ai-governance-disclosure-with-bias-data-testing-oversight/) - same source, 2 shared channels, 4 shared stages
- [Trust center canonical links over duplicate security docs](/growth-ideas/trust-center-canonical-links-over-duplicate-security-docs/) - 2 shared channels, 3 shared stages
- [NDA-verified sensitive doc access in the trust center](/growth-ideas/nda-verified-sensitive-doc-access-in-trust-center/) - 2 shared channels, 3 shared stages

## Read GrowthDex essays

Browse the plain-English essay index at [GrowthDex Blog](/blog/).

## Related GrowthDex essays

- [The buyer trusts the proof they can open alone](/blog/the-buyer-trusts-the-proof-they-can-open-alone/) - brand trust, B2B growth, SEO

## Advisory

If you want help turning this into a working growth system, Ian Goh offers advisory at https://iangoh.com/advisory.