The Data Protection Bill 2021 contain several provision for to regulate the processing, collection, and storage of personal and non-personal data.

The Trust Challenge

Effects

The following are the effects that the Data Protection Bill 2021 may have on any organization that falls within its purview:

  • Adoption of eight principles for handling personal data.
  • Organizations should ensure that a framework is in place to respond to data subject requests in a timely manner.
  • Organizations should ensure that the purpose of processing is documented and that the legal basis for processing is identified based on following the lawful basis mentioned by Data Protection Bill 2021.
  • The bill restricts the transferring of "critical personal data" across India, save in specific cases when explicitly authorised to by the subject and subject to additional circumstances.
  • Data Protection Bill 2021 requires that organizations should maintain record of processing of data.
  • It mandates the appointment of data protection officers (DPOs).
  • Data Protection Bill 2021 requires fiduciaries and processor to implement appropriate security measures to safeguard personal information.
The Trust Challenge

Challenges

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

  • The organization lack the capability to centrally manage personal data to be governed
  • Manually managing data mapping and inventory to meet regulatory requirements
  • Create a data map between personal data and the individual and the underlying assets that store the data.
  • Delete data as per the regulatory mandates of storage limitation when the lawful basis for processing expires
  • 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:

  • 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 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.
  • 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:

  • Adoption of eight principles for handling personal data.
  • Organizations should ensure that a framework is in place to respond to data subject requests in a timely manner.
  • Organizations should ensure that the purpose of processing is documented and that the legal basis for processing is identified based on following the lawful basis mentioned by Data Protection Bill 2021.
  • The bill restricts the transferring of "critical personal data" across India, save in specific cases when explicitly authorised to by the subject and subject to additional circumstances.
  • Data Protection Bill 2021 requires that organizations should maintain record of processing of data.
  • It mandates the appointment of data protection officers (DPOs).
  • Data Protection Bill 2021 requires fiduciaries and processor to implement appropriate security measures to safeguard personal information.
The Trust Challenge

Challenges

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

  • The organization lack the capability to centrally manage personal data to be governed
  • Manually managing data mapping and inventory to meet regulatory requirements
  • Create a data map between personal data and the individual and the underlying assets that store the data.
  • Delete data as per the regulatory mandates of storage limitation when the lawful basis for processing expires
  • 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:

  • 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 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.
  • 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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