This presentation explores data privacy, its significance, key regulations, and best practices for compliance. It highlights the role of businesses, consumers, and regulators in protecting personal information. Key global privacy laws discussed include GDPR (EU), CCPA (USA), DPDP Act 2023 (India), LGPD (Brazil), and PIPEDA (Canada), emphasizing the need for lawful, transparent, and ethical data handling. Core privacy principles include lawfulness, purpose limitation, data minimization, accuracy, and security. The presentation also covers data subject rights such as access, rectification, erasure, portability, and objection, ensuring individuals maintain control over their personal data. By adhering to these principles and regulations, organizations can build trust, enhance security, and avoid legal penalties.

1. “Data Privacy:
Protecting
Information in
the Digital
Age"
UNDERSTANDING
COMPLIANCE, RISKS,
AND BEST PRACTICES
BY SAJAL JAIN

2. Introduction to Data Privacy
What is Data Privacy?
Data privacy refers to the proper handling, processing, and storage of personal data.
It ensures that individuals have control over how their information is collected and used.
Organizations must implement safeguards to protect personal and sensitive data.
Failure to maintain privacy can result in legal, financial, and reputational consequences.
Importance of Data Protection in Organizations
Data protection safeguards confidential information from unauthorized access.
It helps build consumer trust and ensures compliance with legal frameworks.
Effective data privacy measures reduce the risks of breaches and cyberattacks.
Organizations benefit from maintaining strong security and ethical data practices.

3. Key Data Privacy Regulations
GDPR (GENERAL DATA PROTECTION
REGULATION - EU)
GDPR enforces strict rules on data
protection for individuals in the EU.
It grants users rights such as access,
rectification, and erasure of their data.
Organizations must obtain lawful
consent before processing personal
data.
Non-compliance results in hefty fines
and legal consequences.
CCPA (CALIFORNIA CONSUMER
PRIVACY ACT - USA)
CCPA provides California residents with
greater control over their personal data.
It requires businesses to disclose data
collection practices transparently.
Consumers can opt out of data selling
and request access to their information.
Companies face penalties for failing to
comply with consumer privacy rights.

4. Key Data Privacy Regulations
DPDP ACT 2023 (INDIA)
India's DPDP Act governs personal data
protection and user privacy rights.
It outlines the obligations of data
fiduciaries in handling user information.
The law enhances accountability and
security for digital data processing.
Non-compliance may result in significant
fines and restrictions on data use.
OTHER GLOBAL REGULATIONS (LGPD,
PIPEDA, ISO 27701)
Other Global Regulations (LGPD, PIPEDA,
ISO 27701)LGPD (Brazil) aligns with GDPR,
providing strict privacy requirements.
PIPEDA (Canada) focuses on fair
information principles for businesses.
ISO 27701 establishes guidelines for
privacy management in organizations.
Compliance with these regulations
ensures global data privacy standards.

5. Principles of Data Privacy
LAWFULNESS, FAIRNESS, AND
TRANSPARENCY

Organizations must collect and process data
legally and ethically.

Transparent privacy policies help users
understand their rights.

Fairness ensures data is not misused or
exploited.

Compliance with laws builds consumer
trust and reduces legal risks.
PURPOSE LIMITATION
Data should only be collected for specific,
legitimate purposes.
Organizations must inform users about the
intended use of their data.
Processing must not extend beyond the
originally stated purpose.
Purpose limitation prevents unauthorized
data usage and exploitation.

6. Principles of Data Privacy
DATA MINIMIZATION
Only necessary data should be collected to
fulfill the intended purpose.
Collecting excessive information increases
security and compliance risks.
Organizations should regularly review and
delete unnecessary data.
Data minimization reduces exposure to
breaches and misuse.
ACCURACY
Organizations must ensure that stored
data is up-to-date and accurate.
Inaccurate data can lead to poor decision-
making and compliance issues.
Users should have the right to request
corrections to their personal information.
Regular audits help maintain data
accuracy and integrity.

7. Data Subject Rights
•Right to Access
Individuals can request access to their personal data held by organizations.
Organizations must provide a copy of the data in a structured format.
Users have the right to understand how their data is being processed.
Compliance ensures transparency and builds trust between users and businesses.
•Right to Rectification
Users can request corrections to inaccurate or incomplete data.
Organizations must respond to rectification requests within a set timeframe.
Keeping data accurate ensures better decision-making and compliance.
Regular audits help prevent misinformation and errors in stored data.

8. Data Subject Rights
•Right to Erasure (Right to be Forgotten)
Individuals can request deletion of their data under certain conditions.
Organizations must remove data if it's no longer necessary for processing.
Exceptions apply when legal obligations require data retention.
Compliance with this right enhances user control over personal information.
•Right to Data Portability
Users can request their data in a machine-readable format.
This right allows individuals to transfer their data between services.
Organizations must facilitate the seamless transfer of user data.
Ensuring portability promotes competition and user freedom.

9. Data Subject Rights
•Right to Object
Individuals can object to data processing based on legitimate interests.
Organizations must stop processing unless they demonstrate compelling reasons.
Users can object to direct marketing at any time.
Businesses must provide clear opt-out options for consumers.
•Right to Restrict Processing
Individuals can request that their data processing be restricted.
Processing may be paused if data accuracy is contested or processing is unlawful.
Organizations can store but not process restricted data.
This right gives users temporary control over their data.

10. Data Subject Rights
•Right to Lodge a Complaint
Individuals can file complaints with data protection authorities.
If a user’s rights are violated, they can seek legal action.
Authorities investigate complaints and can impose penalties.
Transparency in complaint handling builds trust with users.
•Right Against Automated Decision-Making
Users can contest decisions made solely by automated processing.
This includes AI-driven profiling that affects legal or financial outcomes.
Organizations must provide human intervention upon request.
Transparency in automated decision-making is critical for fairness.

11. Legal Bases for Processing Personal Data
•Consent
Individuals must provide explicit and informed consent before data processing.
Consent should be freely given, specific, and easy to withdraw.
Organizations must maintain records of user consent for compliance.
Failure to obtain valid consent can lead to regulatory penalties.
•Contractual Necessity
Processing is necessary to fulfill a contract with the individual.
This includes service agreements, employment contracts, and transactions.
Organizations must ensure the processing is strictly linked to the contract.
Misuse of this basis can lead to non-compliance and legal risks.

12. Legal Bases for Processing Personal Data
•Legal Obligation
Data processing is required to comply with legal requirements.
Examples include tax reporting, employee records, and law enforcement requests.
Organizations must ensure processing aligns with applicable laws.
Legal obligations override individual consent in specific scenarios.
•Legitimate Interests
Organizations can process data if they have a legitimate interest in doing so.
A balance test must be conducted to ensure user rights are not overridden.
Examples include fraud prevention and network security monitoring.
Organizations must document their legitimate interest assessments.

13. Legal Bases for Processing Personal Data
Vital Interests
Processing is necessary to protect someone’s life or safety.
Often used in emergency medical situations or humanitarian aid.
Data processing must be proportionate to the risk involved.
This basis is less common but essential in life-threatening cases.
Public Interest or Official Authority
Processing is necessary for tasks carried out in the public interest.
Examples include law enforcement, research, and public health policies.
Governments and regulatory bodies often rely on this legal basis.
Transparency and accountability are essential for lawful processing.

14. Case Studies on Data Privacy Violations
1. Facebook-Cambridge Analytica Scandal
•What happened? Cambridge Analytica harvested personal data from millions of
Facebook users without consent.
•Violation: Lack of transparency and misuse of data for political advertising.
•Impact: $5 billion fine by the FTC; increased global scrutiny on data privacy.
•Lesson: Organizations must obtain clear user consent and prevent third-party misuse.

15. Case Studies on Data Privacy Violations
2. Equifax Data Breach (2017)
•What happened? Cyberattack exposed sensitive financial data of 147 million people.
•Violation: Poor cybersecurity controls led to unauthorized access.
•Impact: $700 million in settlements; loss of consumer trust.
•Lesson: Companies must implement strong security and encryption measures.

16. Case Studies on Data Privacy Violations
3. Marriott International Data Breach (2018)
•What happened? Hackers accessed personal data of 500 million guests over four years.
•Violation: Lack of due diligence in data security during acquisitions.
•Impact: GDPR fine of £18.4 million; reputational damage.
•Lesson: Organizations must conduct thorough privacy risk assessments and secure third-party
data transfers.

17. OneTrust Tool for Data Privacy Management
Introduction to OneTrust
OneTrust is a leading platform for automating privacy and compliance tasks.
It helps organizations manage regulatory compliance with GDPR, CCPA, and more.
The tool provides solutions for consent management, risk assessment, and governance.
Businesses use OneTrust to streamline privacy operations and reduce compliance risks.
Features: Data Mapping, Risk Assessments, Consent Management, Vendor Risk
Management
OneTrust offers data mapping tools to track data flows within an organization.
It provides automated risk assessment capabilities for privacy impact analysis.
Consent management ensures lawful data collection with user preferences.
Vendor risk management helps assess third-party compliance and security measures.

18. Conclusion & Next Steps
Key Takeaways
-Data privacy is essential for maintaining trust and regulatory compliance.
-Organizations must adopt strong security measures and ethical data practices.
-Compliance with global regulations protects businesses from legal penalties.
-Continuous improvement in privacy programs enhances data protection efforts.
How Organizations Can Strengthen Data Privacy
-Conduct regular privacy risk assessments and audits.
-Implement privacy by design principles in technology and operations.
-Train employees on data protection policies and secure handling practices.
-Use tools like OneTrust to automate and manage privacy compliance effectively.