EU GDPR Privacy Compliance and Regulation

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

The Trust Challenge

Effects

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

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Adoption of seven principles for handling personal data.

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

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

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The GDPR defines nine basic data subject rights.

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

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

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

The Trust Challenge

Challenges

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

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

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

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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.

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

Win-Win Situation

Solutions

Ardent Privacy’s Solutions relating to the above mentioned challenges:

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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.

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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.

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“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.

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“Right to be Forgotten (RTBF)” with Assured Deletion: With TurtleShield RTBF (Right to Be Forgotten) 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.

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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.

The Trust Challenge

Effects

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

Pointer

Adoption of seven principles for handling personal data.

Pointer

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

Pointer

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

Pointer

The GDPR defines nine basic data subject rights.

Pointer

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

Pointer

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

Pointer

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

The Trust Challenge

Challenges

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

Pointer

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

Pointer

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

Pointer

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.

Pointer

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

Win-Win Situation

Solutions

Ardent Privacy’s Solutions relating to the above mentioned challenges:

Pointer

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.

Pointer

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.

Pointer

“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.

Pointer

“Right to be Forgotten (RTBF)” with Assured Deletion: With TurtleShield RTBF (Right to Be Forgotten) 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.

Pointer

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.

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