Enable Privacy compliance for Virginia CDPA, California CPRA , Data security intelligence, and Observability with Data Bill of Materials(DBoM)

Key obligations in brief


EdTech companies must comply with data privacy laws and regulations specific to their region. In the United States, for instance, the Family Educational Rights and Privacy Act (FERPA) and the Children's Online Privacy Protection Act (COPPA) are relevant.

Obtain informed consent for data collection and processing, particularly for minors. Parents or guardians may need to provide consent for students under a certain age.

Ensure that only authorized personnel, including teachers, students, and administrators, have access to data, and limit access to the data relevant to their roles.

Provide clear, transparent information about how data is collected, used, and shared. This includes explaining the purpose of data processing, data retention policies, and any third-party data sharing.

Business problem

Data privacy in the EdTech (Education Technology) industry presents several key challenges that need to be addressed to ensure the security and privacy of student and teacher data. Some of the main challenges include.

  • Data Security

    Protecting sensitive educational data from breaches and unauthorized access is a primary concern. Data breaches can expose personal information, test scores, and other confidential data.

  • Data Sharing

    Balancing the need to share educational data for effective teaching while protecting student privacy is a challenge. Data may be shared with teachers, administrators, and parents, but this must be done in a controlled and secure manner.

  • Data Retention and Deletion

    Determining how long data should be retained and ensuring proper data deletion processes are in place is important. Unnecessary data should not be stored indefinitely.

  • Anonymization and Pseudonymization

    Striking a balance between using data for educational purposes and protecting individual identities by anonymizing or pseudonymizing data is challenging.




Ardent Privacy’s patented technology product “TurtleShield” is an ML and AI-powered enterprise software platform, that helps businesses discover, identify, inventory, map, minimize, and securely delete personal data.

  • Know your sensitive data first, to secure it

    This is achieved by a nimble and oil drilling-like approach to discovery: We created a global map of organizational data, which is subject to “data protection / privacy regulations” and critical to business.

  • Monitor Third Party data sharing

    Often there are silos within entities or business and IT teams, and it is challenging to secure a holistic view of the data flow outside the organization and the data flow into the organization, especially when the data is shared with the third parties, like vendors, business partners and many more. We can create a data map, based on the data sharing, to facilitate you to take remedial actions, on the same.

  • Minimize data, reduce business and legal risk

    This is data hygiene control and we are approaching it from a risk reduction and compliance perspective. We scan large data sets for excess data, using Machine Learning and find out excess data including personal data. This can eliminate operational inefficiencies and save cost by removing the redundant data and legal cost pertaining to regulatory compliance.

  • Right to Be Forgotten or Assured Deletion

    Give organizations the ability to comply with obligatory erasure of personal data by allowing them to erase the data on request and validate the deletion.

  • Enable and automate data subject rights

    Search capability in large datasets to fulfill data subject requests and enable it efficiently. The assumption that data only exists in databases and nowhere else is often not a reality, as customer data exists in many sources. Using ML & AI we crawl across data sources and find where PII exists.

Other Case Studies / Use Cases

Learn how Ardent is helping customers helping their privacy compliance and data centric security journey.

fintech case study Ecommerce band

Share with Care KYC Protection for Fintech

Data Protection is the focus point of fintech businesses, due to customer data breaches and government regulations relating to personal data protection, introduced across India and the globe. With the emergence of fintech, the data is available in digital format, which makes the data more vulnerable to data breaches. The fintech world is evolving and it has ushered in a lot of challenges on the front of data security and data privacy.

View Full use case
healthcare case study healthcare band

Data Protection / Security - Insurance Sector

Data privacy is a significant concern in the insurance sector due to the sensitive nature of personal and financial information handled by insurance companies. Insurance providers collect and store vast amounts of data from policyholders, including personal details, medical records, financial information, and claims history. Safeguarding this data is crucial to protect customer privacy and prevent unauthorized access or data breaches.

View Full use case

Start meaningful data protection journey with us today!

Or Follow Us

Turtleshield Turtleshield Turtleshield Turtleshield Turtleshield Turtleshield