Extensions · Design
Figma
Catch AI trust issues in design copy before it ships.
Screenshots coming soon
Visual walkthrough of Figma in progress
Overview
The SecEng Trust Scanner for Figma scans text layers, frame annotations, component descriptions, and AI-generated copy directly inside the Figma canvas. As a local-first plugin, no design content is sent to external servers — the analysis runs within the plugin sandbox using the embedded trust scanner engine. Designers and content reviewers can verify that product copy meets AI transparency and security language standards before handoff.
Features
- 01.
Text layer scanning
Scan all text layers in a selected frame or the entire page to catch trust-language issues across your design content.
- 02.
Selection-focused review
Select specific text nodes or components to focus the scan on UI copy that will be customer-facing.
- 03.
Local-first privacy
The plugin runs entirely in the Figma sandbox — no design content, copy, or annotations leave your browser or desktop app.
- 04.
Rewrite suggestions
Get replacement copy for flagged text directly in the plugin panel, ready to apply to the selected text layer.
- 05.
Markdown export for handoff
Export scan results as Markdown to include in design handoff notes or PR review comments.
Install steps
Step 01
Install from the Figma Community or the Figma Plugin Manager using the plugin manifest.
Step 02
Open any Figma file and launch Trust Scanner from the Plugins menu.
Step 03
Select frames or text layers you want to analyze, then click Scan.
Step 04
Review flagged text in the panel, apply rewrites, or export Markdown evidence.
Capabilities
Surfaces
Scan modes
Privacy architecture
Local first
Designed to keep the supported flow in the local or customer-controlled environment. What leaves the device or workspace depends on the feature and configuration.
Platform vendor
Figma, Inc.
Figma, Inc.'s figma json format is mapped in the registry. The connector itself is not yet built.
Early access
Get the integration on the roadmap
Tell us which platform matters most and we'll prioritize it where it fits the current product surface.