Actionable prompt for AI coding assistant: In your Next.js project, locate the Sentry initialization (likely @sentry/nextjs). Implement beforeSend to scrub personal data from events (remove or redacted fields such as user emails, usernames, IDs, IP addresses). Ensure sendDefaultPii is false and IP anonymization is enabled. Add a consent check gate before enabling telemetry. If needed, switch to a privacy-preserving telemetry approach or self-host Sentry. Provide a patch that updates the Sentry config and adds tests to verify that envelope payloads contain no PII across common event types.

Implement a server-side relay for Sentry error reporting. 1) Create a backend endpoint (e.g., POST /api/logs/sentry) that receives the error payload from the frontend. 2) From the backend, forward the payload to Sentry's ingestion endpoint using a server-side fetch/HTTP client, ensuring the API key is never exposed to the client or in browser logs. 3) Update the frontend to POST events to /api/logs/sentry (or configure a custom transport to point to the backend) instead of directly to Sentry. 4) If you must use DSN on the frontend, rotate keys and restrict origins, and migrate to the relay approach for improved confidentiality and control. 5) Implement proper CORS, rate limiting, and monitor for abuse.

Audit all client-side network requests that hit AI endpoints on initial page load. Remove unconditional calls to AI services or wrap them behind a user-initiated action or server-side API. Add user-facing privacy disclosure and consent controls before any AI calls. Refactor to route all AI interactions through a secure backend with proper authentication and data minimization.