What engineering tasks move us from cookies to Privacy Sandbox for first-party analytics migration?

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• Collect only purpose-critical events (signup, onboarding, KYC errors) and drop all non-essential behavioural data unless users give explicit consent.
• Use first-party IDs with short retention, hash them on the client, and avoid storing raw Aadhaar/UAN/ESIC fields in analytics pipelines.
• Add granular consent gating so analytics events fire only after opt-in; store consent + version in an immutable audit log.
• Build server-side aggregation (no third-party cookies), auto-expire old logs, and run monthly audits to ensure the analytics dataset stays minimal and purpose-bound.

• Inventory all vendor integrations and replace cookie-based IDs with first-party identifiers or Privacy-Sandbox tokens so DPIAs assess real data flows.
• Update your data flow diagrams to show how Sandbox APIs (Topics, Attribution) work and what minimal data reaches each vendor.
• Add a token-scoping layer so vendors only receive purpose-limited, ephemeral tokens never raw identifiers.
• Extend vendor DPIA checklists to confirm token handling, retention, revocation, and consent mapping instead of cookie-based tracking.

• Map identifiers: Replace cookie-based identifiers in incident logs with first-party IDs or Privacy Sandbox tokens, ensuring breach analysis no longer depends on third-party cookies
• Update detection pipelines: Modify logging/monitoring systems to capture Sandbox token misuse, token replay, and API abuse, not cookie leakage.
• Revocation workflows: Add the ability to invalidate Sandbox tokens server-side during a breach and propagate revocation to all downstream services.
• Notification evidence: Update breach playbooks so forensic exports include token-level traces, consent flags, and purpose mappings, matching DPDP reporting requirements.

• Add a DPDP-specific breach checklist: identify personal data involved, affected purposes, and whether harm/likelihood-of-harm thresholds are met.
• Build a 1–6 hour internal escalation flow so legal, security, and the DPO can assess if the breach is notifiable to the Data Protection Board.
• Prepare standardised notices for users (plain language, what happened, what data, recommended actions) and keep an immutable audit log of all steps.
• Integrate automated breach detection + evidence capture so root-cause, containment, and remediation reports meet DPDP’s accountability requirements.