Extensions · CMS
WordPress
Gate AI trust risks in WordPress content before publishing.
Screenshots coming soon
Visual walkthrough of WordPress in progress
Overview
The SecEng Trust Scanner for WordPress adds a Gutenberg block and admin panel to your WordPress site so editors and site owners can scan posts, pages, and AI-generated content for trust-language issues before they go live. The plugin connects to the Trust Scanner engine via a webhook, and scan summaries can be embedded directly in post metadata or displayed as a block in the Gutenberg editor. Security-conscious WordPress publishers get systematic AI language review built into their editorial workflow.
Features
- 01.
Gutenberg block integration
Insert a Trust Scanner block anywhere in a post or page to display a scan summary or trigger an on-demand review.
- 02.
Pre-publish scanning
Run a trust scan as part of your publish checklist to ensure AI claims are accurate before content goes live.
- 03.
AI content auditing
Review AI-generated WordPress posts for overstated security or capability claims that could create liability.
- 04.
Evidence attachment
Store scan results as post meta for audit-trail compliance within your WordPress database.
Install steps
Step 01
Upload and activate the plugin from the WordPress admin plugins page.
Step 02
Configure the public base URL in the plugin settings to point to your Trust Scanner deployment.
Step 03
Open any post or page in the Gutenberg editor and add the Trust Scanner block.
Step 04
Click Scan to analyze the content, then export or store evidence in post meta.
Capabilities
Surfaces
Scan modes
Privacy architecture
Webhook-backed
Requests may route through a customer-controlled adapter or server-side integration, depending on setup. Use the detail page to confirm what leaves the environment.
Platform vendor
Automattic Inc.
Automattic Inc.'s wp block 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.