data encryption Insights

What is data encryption?

Data encryption is the process of converting readable data (plaintext) into an unreadable format (ciphertext). It is used to protect the confidentiality and integrity of data at rest and in transit by making it unintelligible to unauthorized parties. Common use cases include securing sensitive information like financial data, personal details, and intellectual property, as well as protecting communications and authenticating users.

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What other technologies are related to data encryption?

data encryption Competitor Technologies

Tokenization

Tokenization replaces sensitive data with non-sensitive substitutes (tokens). It provides data protection without encryption, often used as an alternative for PCI compliance. Thus, it's a 'competitor' as both achieve data protection, but through different mechanisms.

mentioned alongside data encryption in 3% (63) of relevant job posts

data encryption Complementary Technologies

Data Masking

Data Masking obscures data to prevent unauthorized access, complementing data encryption by providing an additional layer of protection, especially when encryption is not feasible or data is in use.

mentioned alongside data encryption in 11% (109) of relevant job posts

key management

Key management is essential for encryption. It involves securely generating, storing, distributing, and managing cryptographic keys, which are fundamental for encrypting and decrypting data.

mentioned alongside data encryption in 5% (181) of relevant job posts

Data Classification

Data classification identifies and categorizes data based on sensitivity, which informs the level of encryption required. It ensures appropriate protection based on data criticality.

mentioned alongside data encryption in 8% (99) of relevant job posts