Public AI Trust Signal Scoring
Find gaps in public AI security claims before buyers do.
Trust Scanner reviews public trust pages, policies, AI claims, subprocessors, security language, evidence surfaces, and customer-facing documentation to identify unsupported claims, missing caveats, outdated language, and buyer-review gaps.
Six-dimension public scorecard
Score AI systems across legal clarity, governance evidence, security trust, and operational transparency.
Artifact presence detection
Detect published security documentation, data policies, audit records, and trust signals.
Domain scan workflow
Scan any AI product domain for public trust artifacts and signal presence.
Chrome extension
In-browser trust scoring while browsing AI vendor sites and product pages.
VS Code integration
Score AI SDK and model provider trust signals from within the development environment.
Core capabilities
What Trust Scanner does.
Six-dimension public scorecard
Scores AI claims, legal clarity, security trust, governance evidence, consistency, and remediation opportunity from public-facing pages. Produces a directional ATG signal, not a private assessment claim.
Artifact presence detection
Checks for privacy policy, terms of service, AI usage policy, AI governance hub, trust center, secure SDLC page, vulnerability disclosure, subprocessors list, DPA, and responsible AI principles.
Domain scan workflow
Input a domain, crawl public trust pages, extract artifact signals, score six dimensions, surface findings, and produce improvement guidance — in one structured scan workflow.
Chrome extension
Run a trust scan inline on any public page from the side panel. The same ATG six-dimension scorecard appears in context without leaving the browser.
VS Code integration
Scan vendor trust surfaces from inside VS Code while reviewing AI dependencies. Trust signal data flows into the shared savvy-stacks catalog.
In-app mini-apps
Embedded trust scanner surfaces appear inside RAG pipeline reviews, authority graph views, and procurement workflows — inline trust signal at the point where dependency decisions happen.
AI SECURITY WORKBENCH
Ready to put Trust Scanner to work?
Start with one bounded application, workflow, tool set, or security decision. Use the relevant Workbench experience to produce connected context, reviewable findings, assigned controls, and explicit next steps.
Continue through the Workbench
Next MADE stage
Adversarial Range
Scenario-driven AI red-team testing for prompts, agents, tools, RAG, and multimodal systems.
Related experience
Surface Discovery
Browser, repo & IDE discovery for AI assets, vendors, and risky patterns.
Evidence
Evidence System
Reviewed, buyer-ready evidence artifacts.