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Encryption

As explained in Generative AI in Action

Encryption is the transformation of readable data into a protected form that requires a key or equivalent mechanism to recover.

Encryption transforms readable data into a protected form that requires a key or equivalent mechanism to recover. In enterprise GenAI systems, protect sensitive data both at rest and in transit. section 11.4.8 section 10.2.2

Apply encryption as part of a broader security baseline:

  • Protect data in transit with TLS. section 11.4.8
  • Use cloud-provider encryption features to protect data at rest. section 11.4.8
  • Pair encryption with access controls, audits, and other privacy measures. section 10.2.2

Encryption is one security control, not a substitute for access management or compliance work. Protect sensitive data while limiting collection and processing to what is necessary. section 10.2.2 section 8.4.1

How Generative AI in Action covers it

How deep it goes
Defines protection for data at rest and in transit but does not detail algorithms or key management.
Examples
Uses TLS for data in transit and cloud-provider encryption features for data at rest.
What you can do after
Apply encryption to data at rest and in transit using TLS and cloud-provider features.
How it connects
Pairs encryption with TLS, access control, data minimization, security audits, and compliance.

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This explainer was generated by Manning's knowledge graph from the text of Generative AI in Action. The section links point to the parts of the book it draws on.