DATA PRIVACY
AND
COMPLIANCE
REQUIREMENTS
INTRODUCTION TO DATA PRIVACY
Data privacy has become a critical concern in modern business
operations. As organizations collect and store vast amounts of
sensitive information, ensuring the protection and responsible use
of this data is paramount. Robust data privacy practices not only
safeguard customer trust but also help businesses comply with
evolving regulatory requirements and mitigate the risk of costly
data breaches.
KEY DATA PRIVACY REGULATIONS
• General Data Protection
Regulation (GDPR)
A comprehensive EU regulation that mandates
strict data privacy and security requirements for
organizations handling personal data of EU
citizens, including obtaining explicit consent, data
breach notifications, and hefty fines for non-
compliance.
• California Consumer Privacy Act
(CCPA)
A landmark state-level privacy law in the US that
grants California residents rights over their
personal data, such as the right to access, delete,
and opt-out of the sale of their information, and
imposes penalties on businesses that fail to
comply.
• Health Insurance Portability and
Accountability Act (HIPAA)
A US federal law that establishes national
standards to protect sensitive patient health
information, requiring healthcare organizations to
implement safeguards to ensure the confidentiality,
integrity, and security of electronic protected
health information.
PRINCIPLES OF DATA PRIVACY
• Transparency
Be clear and upfront about the collection, use, and
storage of personal data. Provide easy-to-
understand privacy policies and notices.
• Consent
Obtain clear, informed, and freely given consent
from individuals before collecting and processing
their personal data. Allow them to easily withdraw
consent.
• Data Minimization
Collect and retain only the minimum amount of
personal data necessary to achieve the specified
purpose. Regularly review and delete unnecessary
data.
• Purpose Limitation
Collect personal data only for specified, explicit,
and legitimate purposes. Do not use the data for
any other purposes without obtaining additional
consent.
• Security
Implement robust security measures to protect
personal data from unauthorized access,
modification, or destruction. Use encryption, access
controls, and other security best practices.
DATA PRIVACY LIFECYCLE
Data Collection
Collect personal data
from users with their
explicit consent and in
compliance with data
privacy regulations
such as GDPR and
CCPA.
Data Storage
Store personal data
securely using state-
of-the-art encryption
techniques and access
control mechanisms
to protect it from
unauthorized access
or breaches.
Data
Processing
Process personal data
only for the intended
purposes and in
accordance with the
user's consent, using
advanced data
analytics and machine
learning techniques
while adhering to data
privacy principles.
Data Sharing
Share personal data
with third-party
service providers or
partners only when
necessary and with
the user's explicit
consent, leveraging
secure data transfer
protocols and
contractual
agreements to ensure
data privacy.
Data Retention
Retain personal data
only for the duration
required to fulfill the
stated purposes and
implement robust
data deletion and
disposal processes to
permanently remove
data when it is no
longer needed.
DATA PRIVACY BEST PRACTICES
Comprehensive Data
Mapping
Conduct a thorough assessment of all
data collected, stored, and processed
to identify sensitive information and
its flow within the organization.
Encryption and Access
Controls
Implement robust encryption
techniques for data at rest and in
transit, along with granular access
controls to limit unauthorized access.
Robust Incident Response
Plan
Develop and regularly test a
comprehensive incident response plan
to swiftly detect, investigate, and
mitigate data breaches or other
privacy incidents.
Employee Training and
Awareness
Provide regular data privacy and
security training to employees to
ensure they understand their
responsibilities and the organization's
privacy policies.
Third-Party Risk
Management
Thoroughly vet and continuously
monitor third-party vendors and
service providers to ensure they also
adhere to data privacy best practices.
Compliance Monitoring and
Auditing
Implement a robust compliance
monitoring and auditing program to
regularly assess the organization's
privacy posture and identify areas for
improvement.
PRIVACY-ENHANCING
TECHNOLOGIES
Privacy-enhancing technologies (PETs) have made significant
advancements in recent years, providing individuals and organizations
with effective tools to protect sensitive information. Encryption, a
fundamental PET, has evolved with the introduction of post-quantum
cryptography, ensuring the security of data even against the threat of
quantum computing. Advancements in anonymization techniques, such
as differential privacy, enable the release of statistical data with strong
privacy guarantees, allowing organizations to derive insights from data
while preserving individual privacy.
DATA SUBJECT RIGHTS
Access
Data subjects have the right to
access their personal data and
obtain information about how
it is being processed,
including the purpose,
categories, and recipients of
the data.
Rectification
Individuals can request that
inaccurate or incomplete
personal data be corrected or
updated, ensuring the data is
up-to-date and accurate.
Erasure (Right to be
Forgotten)
Data subjects can request the
deletion of their personal data
in certain circumstances, such
as when the data is no longer
necessary for the original
purpose or the individual
withdraws consent.
Portability
Individuals have the right to
receive their personal data in a
structured, commonly used,
and machine-readable format,
and to transfer that data to
another controller.
Understanding and respecting data subject rights is a crucial part of ensuring data privacy
and compliance with evolving regulations, such as the General Data Protection Regulation
(GDPR).
COMPLIANCE CHALLENGES
Percentage of organizations facing these data privacy compliance challenges
Keeping up with
evolving regulations
78%
Ensuring
comprehensive data
mapping and
inventory
72%
Implementing robust
data protection
controls
68%
Providing effective
employee training
and awareness
61
%
Establishing effective
data breach response
plans
59%
INDUSTRY-SPECIFIC COMPLIANCE
Industry Key Compliance Requirements
Healthcare
HIPAA (Health Insurance Portability and
Accountability Act) regulations to protect
patient data and privacy
Finance
Sarbanes-Oxley Act (SOX) compliance to ensure financial
reporting accuracy and transparency, and PCI DSS
(Payment Card Industry Data Security Standard) for
secure payment processing
*Based on industry-specific compliance requirements from various regulatory bodies and industry standards.
THE FUTURE OF DATA PRIVACY
2024
Widespread adoption of
biometric
authentication for
secure data access
2026
Emergence of federated
learning, allowing data
privacy while training
machine learning
models
2028
Blockchain-based data
management
solutions to ensure
tamper-proof data
provenance
2030
AI-powered privacy
assistants that
automatically
manage user consent
and data sharing
preferences
2032
Quantum-resistant
encryption algorithms
to safeguard sensitive
data against future
quantum computing
threats

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U1 - Data Privacy and Compliance Requirements.pptx

  • 2. INTRODUCTION TO DATA PRIVACY Data privacy has become a critical concern in modern business operations. As organizations collect and store vast amounts of sensitive information, ensuring the protection and responsible use of this data is paramount. Robust data privacy practices not only safeguard customer trust but also help businesses comply with evolving regulatory requirements and mitigate the risk of costly data breaches.
  • 3. KEY DATA PRIVACY REGULATIONS • General Data Protection Regulation (GDPR) A comprehensive EU regulation that mandates strict data privacy and security requirements for organizations handling personal data of EU citizens, including obtaining explicit consent, data breach notifications, and hefty fines for non- compliance. • California Consumer Privacy Act (CCPA) A landmark state-level privacy law in the US that grants California residents rights over their personal data, such as the right to access, delete, and opt-out of the sale of their information, and imposes penalties on businesses that fail to comply. • Health Insurance Portability and Accountability Act (HIPAA) A US federal law that establishes national standards to protect sensitive patient health information, requiring healthcare organizations to implement safeguards to ensure the confidentiality, integrity, and security of electronic protected health information.
  • 4. PRINCIPLES OF DATA PRIVACY • Transparency Be clear and upfront about the collection, use, and storage of personal data. Provide easy-to- understand privacy policies and notices. • Consent Obtain clear, informed, and freely given consent from individuals before collecting and processing their personal data. Allow them to easily withdraw consent. • Data Minimization Collect and retain only the minimum amount of personal data necessary to achieve the specified purpose. Regularly review and delete unnecessary data. • Purpose Limitation Collect personal data only for specified, explicit, and legitimate purposes. Do not use the data for any other purposes without obtaining additional consent. • Security Implement robust security measures to protect personal data from unauthorized access, modification, or destruction. Use encryption, access controls, and other security best practices.
  • 5. DATA PRIVACY LIFECYCLE Data Collection Collect personal data from users with their explicit consent and in compliance with data privacy regulations such as GDPR and CCPA. Data Storage Store personal data securely using state- of-the-art encryption techniques and access control mechanisms to protect it from unauthorized access or breaches. Data Processing Process personal data only for the intended purposes and in accordance with the user's consent, using advanced data analytics and machine learning techniques while adhering to data privacy principles. Data Sharing Share personal data with third-party service providers or partners only when necessary and with the user's explicit consent, leveraging secure data transfer protocols and contractual agreements to ensure data privacy. Data Retention Retain personal data only for the duration required to fulfill the stated purposes and implement robust data deletion and disposal processes to permanently remove data when it is no longer needed.
  • 6. DATA PRIVACY BEST PRACTICES Comprehensive Data Mapping Conduct a thorough assessment of all data collected, stored, and processed to identify sensitive information and its flow within the organization. Encryption and Access Controls Implement robust encryption techniques for data at rest and in transit, along with granular access controls to limit unauthorized access. Robust Incident Response Plan Develop and regularly test a comprehensive incident response plan to swiftly detect, investigate, and mitigate data breaches or other privacy incidents. Employee Training and Awareness Provide regular data privacy and security training to employees to ensure they understand their responsibilities and the organization's privacy policies. Third-Party Risk Management Thoroughly vet and continuously monitor third-party vendors and service providers to ensure they also adhere to data privacy best practices. Compliance Monitoring and Auditing Implement a robust compliance monitoring and auditing program to regularly assess the organization's privacy posture and identify areas for improvement.
  • 7. PRIVACY-ENHANCING TECHNOLOGIES Privacy-enhancing technologies (PETs) have made significant advancements in recent years, providing individuals and organizations with effective tools to protect sensitive information. Encryption, a fundamental PET, has evolved with the introduction of post-quantum cryptography, ensuring the security of data even against the threat of quantum computing. Advancements in anonymization techniques, such as differential privacy, enable the release of statistical data with strong privacy guarantees, allowing organizations to derive insights from data while preserving individual privacy.
  • 8. DATA SUBJECT RIGHTS Access Data subjects have the right to access their personal data and obtain information about how it is being processed, including the purpose, categories, and recipients of the data. Rectification Individuals can request that inaccurate or incomplete personal data be corrected or updated, ensuring the data is up-to-date and accurate. Erasure (Right to be Forgotten) Data subjects can request the deletion of their personal data in certain circumstances, such as when the data is no longer necessary for the original purpose or the individual withdraws consent. Portability Individuals have the right to receive their personal data in a structured, commonly used, and machine-readable format, and to transfer that data to another controller. Understanding and respecting data subject rights is a crucial part of ensuring data privacy and compliance with evolving regulations, such as the General Data Protection Regulation (GDPR).
  • 9. COMPLIANCE CHALLENGES Percentage of organizations facing these data privacy compliance challenges Keeping up with evolving regulations 78% Ensuring comprehensive data mapping and inventory 72% Implementing robust data protection controls 68% Providing effective employee training and awareness 61 % Establishing effective data breach response plans 59%
  • 10. INDUSTRY-SPECIFIC COMPLIANCE Industry Key Compliance Requirements Healthcare HIPAA (Health Insurance Portability and Accountability Act) regulations to protect patient data and privacy Finance Sarbanes-Oxley Act (SOX) compliance to ensure financial reporting accuracy and transparency, and PCI DSS (Payment Card Industry Data Security Standard) for secure payment processing *Based on industry-specific compliance requirements from various regulatory bodies and industry standards.
  • 11. THE FUTURE OF DATA PRIVACY 2024 Widespread adoption of biometric authentication for secure data access 2026 Emergence of federated learning, allowing data privacy while training machine learning models 2028 Blockchain-based data management solutions to ensure tamper-proof data provenance 2030 AI-powered privacy assistants that automatically manage user consent and data sharing preferences 2032 Quantum-resistant encryption algorithms to safeguard sensitive data against future quantum computing threats