Data privacy has evolved significantly over time: - In the late 19th century, the concept of individual privacy emerged and the right to control personal information. - The computerization age in the mid-20th century intensified privacy concerns as organizations collected and processed vast amounts of personal data without consent. - In the 1970s, the U.S. established Fair Information Practices that emphasized principles like notice, consent, and data minimization, laying the foundation for modern privacy frameworks.

1. .
P. Afrid khan
(2023002100)

2. • The data privacy in the
digital age refers to how we
protect and control our
personal information when
we use the internet and
digital services. It involves
ensuring that our data is not
misused, shared without our
consent, or accessed by
unauthorized parties. Think
of it as locking your digital
doors to keep your private
information safe! 🔒🌐
PITCH DECK 2

3. 3
Data privacy has a rich history, shaped by technological advancements, societal
changes, and legal developments. Here are some key milestones:
1.Privacy as a Fundamental Right: The concept of privacy emerged in the late
19th century. Warren and Brandeis, in their influential 1890 article, argued that
individuals have a right to be left alone and control their personal information.
2.Computerization and Digital Age: The advent of computers and digital data
storage in the mid-20th century intensified privacy concerns. Organizations
collect and process vast amounts of personal data without explicit consent.
3.Fair Information Practices (FIPs): In the 1970s, the U.S. Department of
Health, Education, and Welfare proposed FIPs, emphasizing principles like
notice, consent, and data minimization. These principles laid the groundwork for
modern privacy frameworks.

4. 1.Proliferation of Data Breaches:
1. As technology advances, so do cyber threats. Data breaches expose sensitive information, affecting individuals and
organizations alike.
2. Cybercriminals exploit vulnerabilities, leading to leaks of personal data, financial records, and intellectual property.
2.Tracking and Profiling by Companies:
1. Companies collect vast amounts of user data for targeted advertising, personalization, and analytics.
2. While this enhances user experience, it raises concerns about privacy, consent, and the potential misuse of personal
information.
3.Risks of Surveillance and Government Intrusion:
1. Surveillance technologies, both public and private, monitor our digital lives. Governments use them for security, but they
can infringe on civil liberties.
2. Balancing security with privacy rights remains a delicate challenge.
In this interconnected world, safeguarding privacy requires a delicate dance between innovation and protection.
PITCH DECK 4

5. 1. Encryption is the process of converting plaintext data into a secure, unreadable format (ciphertext) using cryptographic algorithms.
2. Purpose:
1. Confidentiality: Encrypting data ensures that only authorized parties can decipher and access it.
2. Integrity: It prevents unauthorized modifications during data transmission or storage.
3. Examples:
1. Symmetric Encryption: Uses a single secret key for both encryption and decryption (e.g., AES).
2. Asymmetric Encryption: Involves a key pair (public and private keys) for secure communication (e.g., RSA).
1.Anonymization:
1. Definition: Anonymization removes or alters personally identifiable information (PII) from datasets to protect privacy.
2. Purpose:
1. Privacy Compliance: Helps organizations comply with regulations (e.g., GDPR) by minimizing the risk of re-identification.
2. Data Sharing: Enables sharing of aggregated or masked data for research or analytics.
3. Techniques:
1. Pseudonymization: Replaces identifiable data with pseudonyms (e.g., replacing names with unique codes).
2. Generalization: Aggregates data (e.g., age ranges instead of exact ages).
3. Randomization: Introduces noise or randomness to prevent re-identification.
2.Secure Data Transfer Protocols:
1. Definition: These protocols ensure data integrity and confidentiality during transmission.
2. Examples:
1. HTTPS (Hypertext Transfer Protocol Secure): Encrypts data exchanged between a user’s browser and a web server.
2. SFTP (Secure File Transfer Protocol): Provides secure file transfers over SSH.
3. TLS/SSL (Transport Layer Security/Secure Sockets Layer): Encrypts data for secure communication over networks.
Remember, implementing these technologies is crucial for safeguarding sensitive information in our interconnected world.
.
PITCH DECK 5

6. PITCH DECK 6
1. AI and IoT advancements pose challenges to data privacy as they increase data
collection and processing capabilities, requiring robust safeguards.
2. Future data privacy laws may focus on regulating algorithmic decision-making and
ensuring transparency in automated systems.
3. Increased emphasis on user consent and data transparency may shape future
regulations to empower individuals in controlling their personal information.
4. Stricter enforcement mechanisms and higher penalties could be implemented to
deter data privacy violations in an increasingly digitized world.
5. Collaborative efforts between governments, tech companies, and advocacy groups
may drive the development of standardized privacy frameworks to address evolving
technological landscapes.

7. .
.
.
.
.
.
.
.
PITCH DECK 7

8. .
.
.
.
.
.
.
.
PITCH DECK 8

9. PITCH DECK 9
This happens when data is transmitted from your organization to an
external recipient without authorization
APPS:
.
.
.
.
And many more……

10. PITCH DECK 10
.
Have I Been Pwned: Check if your email has been compromised in a data breach
EXPOSED https://www.exposed.lol/
Mine - The Future of Data Ownership (saymine.com)
https://www.saymine.com/

11. PITCH DECK 11
Name: P Afrid
Khan
(2023002100)