The Privacy Gap Nobody Talks About: Where Do APIs Fit Under DPDP?
India enacted DPDPA, while we are in transition phase which allows significant time for organisations to comply with the act, it seems every organisation is busy rewriting the privacy policies, integrating cookie banners, and cookie policies.
While the front door looks secure back door is wide open.
There is a massive privacy gap nobody is talking about: “Application Programming Interface”.
API’s are ubiquitous serving as backbone of the modern wireless connectivity. They are invisible plumbing of the software stack. They are advantageous as they allow software to talk to each other, it is also possible for them to connect mobile app to cloud and pipe data to analytics tools.
However, considering the modern API architecture there are three main impediments.
To understand why API’s are compliance risk, we must look at the way it is built. Developers value time and efficiency, which directly conflicts with data minimisation and purpose limitation.
Consent and data minimisation vs “Over- fetching trap”
As per DPDPA, section 6 mandates only collection of such data that is necessary for the specified purpose. In reality, to save time developers build broad generic API’s, capable of pulling entire user records. If a feature on user screen only needs to display their first name, but the backend API might still deliver the full name, email address, phone number, and aadhar details in the background. Even if front-end code drops only the name and even if other details are never shown to the user, mere act of transmittting that extra data across network is a compliance gap.
The danger of “Shadow” and “Orphaned” API’s:
Orphaned API or often called as zombie API is the one which keeps working when developer forgets to shutdown it or never delted the code. Zombie API’s are the legacy or leftover endpoints, that were left active after refracting or project completion. But this can be still accessible by malicious third-party hacker, and users on unupgraded apps.
Shadow API are slightly different from Orphaned API’s, it exists and processes data but it is completely undocumented, unmanaged, and invisible to the security and IT teams. It occurs when developers build internal utilities, shortcuts, and features directly into applications backend code, completely bypassing the central registry or API gateway.
Obligation of Accuracy and Erasure vs Distributed cache:
It is distributed because it doesn’t exists in one computer memory pool, but scattered across different cache servers located at several geographic locaions, across the country or world. So often in practice, when data erasure request, or correction, updation, or completion request is raised, it only updates the central database, completely ignoring to signal the cache eviction.
The Digital Personal Data Protection Act demands full accountability of data flows, but current compliance implementations consider data privacy as a user-interface wrapper, a legal requirement, instead of an engineering constraint at the core. As long as APIs continue to silently over-fetch data, operate in governance vacuums as shadow endpoints, and serves stale cached information, true DPDP compliance remains an illusion. Enterprise software design must evolve to close this hidden privacy gap. Privacy-by-design has to be more than a privacy policy page. It needs to be embedded into the code, schemas and gateway architectures which control the daily flow of digital personal data.
Bridging the gap- privacy-by-design API architecture
Integrating central API gateway:
Organizations must mandate ingress where all interrnal and external inter-service traffic is routed exclusively through a central API gateway. This layer must enforce rate limiting, token validation, and deep packet inspection to filter out malicious structural anomalies.
Continuous API discovery and Token based governance:
To eliminate shadow, zombie, and an orphan API’s, organizations must continuously identify the registered API’s, and shut down the unregistered ones. Attention should be given to implementing necessary security safeguards, for all registered API’s in the central database.
The Digital Personal Data Protection Act requires responsibility for how data moves.. Most commonly used ways of meeting compliance is still seen as just a legal rule or something added on at the user interface. This approach is built on erroneous premise, as long as APIs keep pulling more data than needed run without oversight in shadow areas and serve outdated cached data real compliance under the DPDP will remain as unachievable ideal. Only way to change this is to change the architecture on which API’s are built.
Privacy-by-design should not end with a privacy policy that no one reads. It must be built into the code, into the data models and, into the gateways that control how digital personal data flows every single day.