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Data Portability Goes Economy-Wide: Is Your System Ready for Transfer Requests?

Data portability rights are expanding beyond finance and government into healthcare, telecom, and further into energy and education. Here is what your systems need — from request intake and identity verification to transfer execution and audit history — to actually respond.

POLYGLOTSOFT Tech Team2026-08-318 min read0
MyDataData PortabilityAPI DesignPrivacy LawSystem Development

Beyond Finance and Government

The right to data portability lets individuals request that their personal data be sent to themselves or to a third party they designate. Korea's amended Personal Information Protection Act (2023) established the legal basis, while the actual scope, data items, and effective dates are set sector by sector through the enforcement decree. Financial and public-sector MyData came first; healthcare, telecommunications, and energy are already live, meaning individuals can exercise third-party transfer requests in those sectors today. An enforcement decree amendment extending the right to education and employment completed its public comment period in the first half of 2026, with culture and leisure next and welfare, real estate, and retail slated to follow.

Support programs such as KISA's MyData service initiative are accelerating pilots and early builds, creating a window where the market moves ahead of the statutory deadline. That is why "we're not covered yet" is a hard position to hold. Even if you are not directly obligated, the moment a partner or platform asks for a transfer interface, your ability to respond becomes a contract term.

What Responding to a Transfer Request Actually Means

Self-transfer delivers data back to the individual, so once identity verification is solid, the flow stays relatively simple. Third-party transfer is a different problem. Your system has to determine whether the recipient is properly authorized, how far consent extends, and whether the request is one-time or recurring. Financial MyData moved from screen scraping and file handoffs to standardized API integration precisely so that transfer scope and liability boundaries could be verified by machines.

This means a transfer request is not a one-off query feature but a state machine. Each step — request received → identity verified → items determined → transfer executed → completion notified → history retained — needs a persisted state. Without it, you cannot answer how far a transfer progressed when it fails midway or when a withdrawal request arrives.

Where Systems Break First

In practice, the blockers are rarely legal. They are structural.

  • Data does not converge on a single person. The member database keys on email, the order system on order number, and the CS tool on phone number. Without a unified identifier, assembling "everything about this person" becomes manual work.
  • Nobody has defined what to send. With no item catalog or code scheme, transfer scope varies by whoever handles the request, which leads to over-disclosure incidents.
  • Volume breaks performance. For a service with one million members, even a 0.1% daily request rate means 1,000 requests, and querying five source systems per request produces 5,000 calls. If there is no policy on whether a single source failure triggers a full rollback or a partial transfer, operations stall.
  • History is not preserved. Who sent which items, when, and to whom must be retained in an auditable form.
  • Security Design Checkpoints

    Consent must be managed with both scope and expiry. Financial MyData caps transfer authorization at one year and requires renewed consent; storing consent items, recipients, and expiry dates as data — with automatic blocking on expiry — is the safer implementation.

    Encrypt transfers with TLS and short-lived tokens, but do not stop recipient verification at token validation. Check against a pre-registered recipient list as well. Document the incident procedure for mistaken or excessive transfers in advance. With a 72-hour notification obligation after a breach is identified, recall requests, affected-party calculation, and remediation steps cannot depend on someone's memory.

    A Preparation Roadmap — and the Upside

    The sequence is data inventory → item standardization → API design → consent and history management → operational automation. The first two stages often consume more than half the total timeline, and skipping them to start with APIs means rewriting every time item definitions change.

    Go one step further and the opportunity becomes visible. If you design not only for sending data but for receiving it, you can build new services — personalized recommendations, automated quotes — from data your customers hold across other providers. That is the line between treating portability as a compliance cost and treating it as a new channel.

    POLYGLOTSOFT breaks this work into stages: inventory assessment, item standardization, transfer API design, and consent and history management screens. Our subscription development model lets you start month by month — organize the inventory and item definitions first, then add APIs and admin screens on top. If you need to check whether your system can answer a transfer request today, get in touch anytime.

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