EU GDPR Privacy Compliance and Regulation

Eu General Data Protection Regulation (GDPR)

The EU General Data Protection Regulation (GDPR), which went into effect on May 25, 2018, is the most stringent global privacy regulation in force today and it requires companies to operationalize and demonstrate compliance with several standards and principles for personal data processing, and it applies to personal data processing carried out entirely or partially by automated means.

The GDRP has strengthened the regulations for processing personal data as well as the procedures for obtaining consent before information processing.

Effects

The following are the effects that the GDPR may have on any organization that falls within its purview:

Adoption of seven principles for handling personal data.

The privacy compliance has been enhanced to be more risk management focused.

Data protection by design and by default (or "privacy by design and default") are new requirements.

The GDPR defines nine basic data subject rights.

The GDPR requires the preparation of an Incident Reporting & Breach Management Workflow.

GDPR also mentions keeping records of processing activities (RoPA).

GDPR requires the appointment of a Data Protection Officer (DPO).

Challenges

The following are the issues created by GDPR laws that the majority of organizations face:

The organization collects massive amounts of data but lacks the capability to comply with privacy regulations.

Manually managing data mapping and inventory to meet GDPR requirements such as verifying and fulfilling consumer requests within 30 days or risk regulatory sanctions.

Lack of provision or process to destroy data despite the fact that the GDPR mandates that data be destroyed when the lawful basis for processing expires.

Organisations do not have a mechanism in place to generate record of assurance that provide the proof of permanent deletion.

Solutions

Privacy Process Automation

TurtleShield PA (Privacy Automation) automates and streamline privacy-related processes and tasks. PIAs and DPIAs aim to enhance privacy practices, ensure compliance with applicable privacy laws and regulations, and protect sensitive information. Overall, a privacy automation solution simplifies and streamlines privacy management processes, reducing the risk of non-compliance and improving data protection practices.

Data discovery, inventory and mapping

Our AI-based, patented solution, TurtleShield PI (Privacy Intelligence) discovers all personal and sensitive data in structured and unstructured data systems across on-premises and multi-cloud environments. TurtleShield DI (Data Inventory) enables organizations to inventory & map their entire “Data footprint”, enabling them to protect what matters the most.

Third party Privacy Intelligence (monitors third party sharing)

Often there are silos within entities or business and IT teams and it is challenging to get a full picture of data going outside organization and which is coming into organization, especially when data is shared with third parties, vendors, business partners and much more. Our TurtleShield PI (Privacy Intelligence) creates a data map based on your “data sharing”, to facilitate you to take action on it.

Data Minimization

TurtleShield DM (Data Minimization) helps businesses minimize excess data and adhere to data minimization principle. This is data hygiene control and we are approaching it from a risk reduction and compliance perspective. We scan large data sets to scan 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 unwanted data and legal cost of having it with respect to regulatory compliance.

Right to Erasure with Assured Deletion

With TurtleShield RTBF (Right to Erasure) provides the businesses the capabilities to comply with mandatory deletion of personal data by providing the capabilities to delete the data on request along with the validation of the deletion.

Enable Data subject rights with cost savings and compliance in totality

Search capability in large datasets to fulfill data subject requests in totality and at rapid space. Assumption that data only exists in databases and nowhere else is often not reality as customer data exists in many sources. Using Machine learning and AI we crawl across data sources and predict where PII can exist.

Consent Management

TurtleShield CM is the solution designed to help in enabling consent compliance within your organization involves implementing processes, technologies, and policies that ensure you collect and manage user consent in a way that aligns with applicable data protection regulations and industry best practices. It also helps in enabling consent management in 22 regional languages.