Automated checks
Website checks use programmed rules to inspect public HTTPS responses, TLS certificates, headers and linked pages. The current scanner does not ask a language model to decide whether a website passes. Results can still contain errors and should be reviewed alongside their timestamps and raw evidence.
AI-assisted development
AI coding assistants have helped create and review TrustCertia's code, interface and documentation. This is a development disclosure, not an independent security audit or a claim that every generated suggestion is correct.
External research assistants
ChatGPT, Claude, Grok and Gemini links let you choose an external assistant to research public website information. The link may contain a prepared research prompt. Those providers have their own privacy notices and data practices; an assistant's answer is not a TrustCertia scan result or certification.
Agent and MCP access
The public MCP tools return public records. Private project actions require a scoped account token. An agent can request supported actions, but domain ownership and publication requirements still apply. Do not place passwords, private evidence or account tokens in public prompts.
Runtime AI and training
A built-in language-model chat service is not currently active. The website's scanner does not automatically send account data or scan results to model providers. External tools you choose to use have separate retention and training terms; this notice makes no promise about those providers' policies.
Corrections and changes
Automated results and AI-generated explanations can be incomplete. Review evidence before making a decision, and use our contact form to report errors. Material changes to AI processing should be reflected in this notice before the new processing is enabled.