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What is Fake data?

Fake data refers to artificially generated or manipulated information designed to appear real. It is used for testing, training machine learning models, and protecting privacy by replacing sensitive data with synthetic alternatives while maintaining statistical validity for analytics and AI applications.

Data masking
Data masking is a security technique that replaces real data with fictitious yet structurally similar data to prevent unauthorized access while maintaining usability. It is widely used in testing, analytics, and compliance processes to protect sensitive data such as personally identifiable information (PII) and financial records.
No Code Machine Learning
No Code Machine Learning refers to platforms and tools that allow users to build and deploy AI models without requiring programming knowledge. These tools democratize AI by enabling business users, analysts, and researchers to train models using intuitive interfaces, pre-built algorithms, and automated workflows.
Cryptography
Cryptography is the practice of securing communication and data through mathematical techniques, ensuring confidentiality, integrity, and authenticity. It involves encryption and decryption methods that protect sensitive information from unauthorized access. Cryptography is widely used in cybersecurity, digital signatures, blockchain, and secure communications to safeguard data from threats.

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