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What is Data security?

Data security encompasses strategies, policies, and technologies designed to protect digital information from unauthorized access, breaches, and cyber threats. It includes encryption, access controls, firewalls, and threat monitoring to ensure data integrity, confidentiality, and availability across networks and storage systems.

Transformer Model
A Transformer Model is an AI architecture used in natural language processing (NLP) that processes data in parallel rather than sequentially. It powers models like GPT and BERT, enabling state-of-the-art text generation and comprehension.
Source data
Source data refers to the original, unaltered information collected from primary sources before any processing or analysis. It serves as the foundation for data-driven decision-making in research, AI training, and analytics.
Compartmentalization (information security)
Compartmentalization is a security principle that restricts access to information based on user roles and privileges. It minimizes security risks by ensuring that sensitive data is only accessible to authorized individuals.

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