Get Singapore PDPA Compliant With the Most Comprehensive PrivacyOps platform.

PDPA provides individuals more rights over their data and defines organization’s responsibilities while collecting, use and disclosure of individuals' personal data.

The Trust Challenge

Effects

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

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The PDPA includes regulations for 'Data Protection' and a 'Do Not Call Registry' that govern the acquisition, use, and disclosure of people' personal data, as well as organisations' responsibilities when delivering advertising messages.

The Trust Challenge

Challenges

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

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The organization lacks the capability to centrally manage personal data to be governed.

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Organizations must retain a record of all access requests received and handled, explicitly noting whether the requested access was granted or denied.

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Delete data as per the regulatory mandates of storage limitation when the lawful basis for processing expires.

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The permanent and through erasure of data such that the data cannot be recovered and provide a proof of assurance.

Win-Win Situation

Solutions

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

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.

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.

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.

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.

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 PDPA may have on any organization that falls within its purview:

Pointer

The PDPA includes regulations for 'Data Protection' and a 'Do Not Call Registry' that govern the acquisition, use, and disclosure of people' personal data, as well as organisations' responsibilities when delivering advertising messages.

The Trust Challenge

Challenges

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

Pointer

The organization lacks the capability to centrally manage personal data to be governed.

Pointer

Organizations must retain a record of all access requests received and handled, explicitly noting whether the requested access was granted or denied.

Pointer

Delete data as per the regulatory mandates of storage limitation when the lawful basis for processing expires.

Pointer

The permanent and through erasure of data such that the data cannot be recovered and provide a proof of assurance.

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.

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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.

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