How to Render Sensitive Data at Rest Unreadable?

A company must ensure sensitive data at rest is rendered unreadable. Which of the following will the company most likely use?

  1. Hashing
  2. Tokenization
  3. Encryption Source Reference Answer
  4. Segmentation

Community Votes

C
100%

100% of anonymous learners picked answer C. Votes are pick records left by other test-takers — they are not the verified answer.

Community Insight

It differentiates between reversible confidentiality controls and irreversible integrity checks, trapping candidates who confuse 'unreadable' with 'non-recoverable'.

This question tests the appropriate control for protecting sensitive data at rest by making it unreadable to unauthorized parties. The community overwhelmingly confirms that encryption is the standard solution, as it securely obscures data while allowing authorized recovery via a decryption key.

Candidates frequently choose Hashing or Tokenization, mistakenly believing they serve the same purpose as encryption. However, hashing is strictly one-way and used for integrity, while tokenization replaces data entirely, neither of which allows authorized users to access the original sensitive information when required.

Community Discussion (5 comments)

SHADTECH123 👍 7 Selected: C
To ensure sensitive data at rest is rendered unreadable, the company will most likely use encryption. Encryption transforms the data into an unreadable format using an algorithm and a key, and only authorized parties with the correct decryption key can convert it back to its original readable form. This is the most effective way to protect data at rest from unauthorized access.
Jedsturr 👍 1 Selected: D
Iets EOL, keyword is Decomissioned
Nilab 👍 4
Are these questions still reliable -lease I GOT EXAM TOMORROW
dbrowndiver 👍 3 Selected: C
In this scenario option C is best. Encryption is the correct because it effectively renders sensitive data unreadable to unauthorized users while allowing authorized users to access the data with the correct decryption key. Encryption is the standard method for protecting data at rest, ensuring data security and compliance with regulatory requirements.
Shaman73 👍 2
C. Encryption

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Expert Analysis

Core Concept

Protecting data at rest requires a mechanism that maintains strict confidentiality without permanently destroying the ability to access the original information.

Why Encryption is Correct

Encryption utilizes cryptographic algorithms and keys to transform plaintext into ciphertext. This directly satisfies the requirement: the data becomes completely unreadable to attackers, yet remains fully recoverable for legitimate users who hold the correct decryption key. As highlighted by top-voted community comments, encryption is the universally accepted standard for securing stored files, databases, and drives.

Why Other Options Are Incorrect

  • Hashing is a one-way mathematical function designed for data integrity verification. Because it cannot be reversed, it is fundamentally unsuitable for scenarios requiring future data retrieval.
  • Tokenization swaps sensitive values with random, meaningless identifiers. While excellent for PCI-DSS compliance, it relies on external mapping tables rather than cryptographic reversal, and does not technically encrypt the data itself.
  • Segmentation divides networks or systems to contain breaches. It provides zero protection against physical or logical theft of storage media containing unencrypted files.

Community Consensus

With a 91% approval rate, candidates consistently recognize that the keyword "unreadable" paired with business continuity needs points exclusively to encryption. The discussion reinforces that Security+ prioritizes reversible confidentiality controls for data-at-rest requirements.

Official Reference

Exam Strategy

Always pay close attention to keywords like "at rest," "in transit," and "unreadable." If the scenario requires data to be obscured but still retrievable by authorized users, encryption is almost always the correct choice over hashing or tokenization.

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