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What is Data privacy?

Data privacy refers to the right of individuals to control how their personal information is collected, processed, and shared. It is regulated by laws like GDPR and CCPA, which mandate transparency, user consent, and security measures to protect sensitive data from unauthorized use or exposure.

Differential Privacy
Differential privacy is a privacy-preserving technique that adds statistical noise to datasets, ensuring individual data points cannot be reverse-engineered while still allowing meaningful analysis. It is widely used in AI, data analytics, and government data-sharing initiatives to protect sensitive information while maintaining utility.
Data Acquisition
Data acquisition is the process of collecting and digitizing data from various sources, including sensors, databases, APIs, and manual entry. It plays a critical role in data-driven decision-making, IoT, and AI applications by ensuring high-quality, real-time data ingestion and processing.
Encryption
Encryption is a cybersecurity technique that converts data into a coded format to prevent unauthorized access. Common encryption methods include symmetric (AES) and asymmetric (RSA) encryption, essential for secure communications, financial transactions, and data protection.

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