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Encryption

As explained in Build AI-Enhanced Web Apps

Encryption is the transformation of readable data into an encoded form that requires a corresponding key or process to recover.

Encryption transforms readable data into encoded form that requires a corresponding key or process to recover. For AI applications, use it to protect sensitive chat histories, including those containing personally identifiable or financial information. section 9.5

Apply encryption as a data-protection measure:

  • Protect sensitive data at rest and in transit in production deployments. section 9.6.2
  • Consider industry-standard algorithms such as AES for sensitive stored chat histories. section 9.5

How Build AI-Enhanced Web Apps covers it

How deep it goes
Identifies encryption’s role and names AES, but provides no implementation steps.
Examples
Uses chat histories containing personally identifiable or financial information, and sensitive data at rest and in transit.
What you can do after
Apply encryption as a production privacy control for sensitive data at rest and in transit.
How it connects
Connects encryption with data privacy, access control, data retention, anonymization, and auditing.

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This explainer was generated by Manning's knowledge graph from the text of Build AI-Enhanced Web Apps. The section links point to the parts of the book it draws on.