The_Importance_of_Data_Privacy_in_Information_Systems_Management - ppt.pptx

IMPORTANCE OF DATA PRIVACY

1. The Significance of Data Privacy in Managing Information Systems By : Hrithika Nair

2. Introduction What is Data Privacy? Data privacy, also known as information privacy, refers to the handling and protection of sensitive information. It encompasses the practices, measures, and policies that ensure personal and organizational data is collected, stored, and shared responsibly. Key principles include confidentiality, integrity, and availability of data.

3. The Role of Data Privacy in ISM Protecting Sensitive Information Safeguarding personal, financial, and health information from unauthorized access. Maintaining Trust and Reputation Ensuring customers and stakeholders trust the organization’s ability to handle data responsibly. Legal and Regulatory Compliance Adhering to laws and regulations such as GDPR, CCPA, and HIPAA to avoid legal penalties and fines.

4. Key Data Privacy Regulations General Data Protection Regulation (GDPR) A regulation in the EU that sets guidelines for the collection and processing of personal information. California Consumer Privacy Act (CCPA) ,A state statute intended to enhance privacy rights and consumer protection for residents of California, USA. Health Insurance Portability and Accountability Act (HIPAA) A US law designed to provide privacy standards to protect patients' medical records and other health information. Other Global Data Privacy Laws Various international laws that govern data privacy, each with specific requirements and protections.

5. Risks of Poor Data Privacy Practices Data Breaches and Cyber Attacks Unauthorized access to data can lead to significant financial losses and operational disruption. Financial Losses and Fines Noncompliance with data privacy laws can result in hefty fines and financial liabilities. Damage to Reputation and Customer Trust Losing customer trust due to data mishandling can harm the organization's reputation and customer relationships.

6. Strategies for Ensuring Data Privacy

7. The Role of Technology in Data Privacy Implementing Secure Data Storage Solutions Using secure data storage options to safeguard data from unauthorized access and breaches. Use of Encryption Technologies Employing encryption methods to protect data both in transit and at rest. Data Masking and Anonymization Implementing techniques to mask or anonymize data to protect individual identities.

8. Case Studies High-Profile Data Breaches and Their Impact Examples: Equifax, Target, Yahoo breaches Analysis of how these breaches occurred and their consequences. Companies with Exemplary Data Privacy Practices Examples : Apple, Microsoft, IBM Discussion of their strategies and successes in protecting data privacy.

9. Future Trends in Data Privacy: The Rise of AI and Machine Learning in Data Protection Emphasizing transparency and giving users control over their data. Leveraging AI to detect and respond to data privacy threats in real-time. Anticipating new regulations and preparing to comply with evolving legal landscapes.

10. Thank you for your time 😊