Under the DPDP Act, student profiles, learning activity, test results and parent contact details are all personal data, and most of that data belongs to children. DPDP.ai brings parental consent, family requests and vendor oversight into one system. With DPDP.ai learners stay protected, and you stay compliance ready.
Ed-tech platforms and institutions are Data Fiduciaries. The video-class tools, payment gateways, hosting providers and analytics vendors they rely on are Data Processors. DPDP.ai helps you meet those duties from one platform across apps, classrooms and partners.
Student profiles, attendance, scores, recordings and payments sit across your LMS, apps, CRM and support tools. DPDP.ai finds and tags this data, then maps each item to its system, owner, purpose and retention period.
Under the DPDP Act, a child's data needs verifiable consent from their parent or guardian. DPDP.ai sends purpose-based notices in many languages and keeps a ledger of who consented for which child, including any withdrawal.
Behavioural monitoring and targeted advertising aimed towards children are prohibited. DPDP.ai’s cookie controls keep trackers away from a child’s journey on the platform.
Consent Manager registration opens on 13 November 2026, and main duties begin on 13 May 2027. With DPDP.ai's modules, ed-tech platforms can start with consent and extend it over time.
Live-class tool, payment gateway and analytics provider each receive student data. DPDP.ai runs vendor risk reviews and records ROPA, linked to the exact data it receives.
One violation can cost up to ₹250 crore, depending on the duty breached. Any mishandling with children's data also damages parent confidence. DPDP.ai lowers both risks with controls backed by proof.
Ed-tech grows fast, serves children and young users, and runs on many third-party tools. This makes privacy hard to manage. These are the gaps teams notice first.
Contact SalesEd-techs must verify a learner's age and if they are children, they must get a guardian’s consent at sign-up. They need to do this without delaying the process.
The child learner uses the platform, and the parent gives permission and pays the fees. Profile, the parent's consent and the fee receipt often sit in different systems, making it hard to prove whose permission you hold.
Analytics, engagement tools and ad tags can end up watching learners without a valid reason. Behavioural tracking and targeted ads aimed at children are restricted.
Live-class software, payment gateways, chat tools and cloud hosts all handle learner data. This brings privacy risks as the data is very much scattered.
Class videos, proctoring data and test results are saved in many places and kept longer than needed. Different data types need different retention periods, and most teams haven't set them.
Families can ask to access, correct or delete their child's data, and teams must first confirm who is asking. Sharing or deleting a child's data for the wrong person creates a new breach. Also, as data sits in many tools, teams also struggle to find it all and reply on time.
Ed-Tech challenge: Learner data scattered across the LMS, apps, CRM and support tools
How DPDP.ai solves it: Scanning of every source builds a living map of personal data.
Ed-Tech challenge: Parental consent for a child's data
How DPDP.ai solves it: A consent engine stores guardian approval, version history and withdrawal for each child.
Ed-Tech challenge: Trackers and ad tags on learner journeys
How DPDP.ai solves it: Cookie controls hold non-essential trackers back until valid consent is given.
Ed-Tech challenge: Dependence on video, payment and analytics providers
How DPDP.ai solves it: Each provider is reviewed on a schedule against its data-processing agreement.
Ed-Tech challenge: Class recordings and proctoring data kept too long
How DPDP.ai solves it: Retention rules are set per data type, with alerts once data passes its limit.
Ed-Tech challenge: Parents requesting access, correction or erasure
How DPDP.ai solves it: Requests are verified, routed and closed across linked systems.
Ed-Tech challenge: A breach involving student data
How DPDP.ai solves it: A guided workflow gathers proof and carries the response through to timely notice.
Ed-Tech challenge: Notices families struggle to understand
How DPDP.ai solves it: Notices are written in simple wording and published in several languages.
Legal, product and engineering teams at ed-tech companies ask us these questions most of the time.
Talk to an ExpertAt most of the times yes it is a data fiduciary. If an ed-tech platform decides why and how learner data is used, it becomes a data fiduciary.
The purpose of parental consent is to legally protect minors. For any ed-tech platform, they must obtain verifiable consent from a parent or lawful guardian before processing a child's data.
Showing targeted ads to students under the age of 18 is strictly prohibited under the DPDP Act. But you can display targeted ads to students over the age of 18.
DPDP.ai brings guardian consent, family requests and vendor oversight into one system. This helps any ed-tech business to protect learners and keep proof of compliance.
Find out how DPDP.ai can bring learner data, parental consent and vendors into one clear compliance view.
By submitting, you agree to our Privacy Policy. We'll only use your details to arrange the demo.
