Category archive
Privacy, governance, and risk-aware guidance for teams that need a trustworthy and transparent chatbot experience.
How website chatbots separate useful conversation memories from logs, manage consent and expiry, and make incorrect saved statements fixable.
A practical due diligence checklist for website operators: How to evaluate DPAs, subprocessors, data flows, and third-country transfers before your chatbot rollout.
How website teams make chat histories visible, exportable, and deletable, revoke access, and securely confirm sensitive actions.
Use this practical audit to check chatbot disclosure, timing, accessibility, ownership, synthetic content, evidence, and rollout controls before Article 50 applies.
How to measure chatbot quality using minimal events, controlled conversation sampling, separated data tiers, and transparent retention periods.
How website teams mitigate direct and indirect prompt injection using segregated trust zones, least privilege, output validation, and targeted security testing.
New transparency obligations for AI chatbots apply from August 2, 2026. This checklist shows website operators which notices, processes, and evidence are now important.
A practical checklist for teams that want to use an AI chatbot on their website without ignoring privacy, data minimization, and operational risk.