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Encryption

As explained in The Art of AI Product Development

The transformation of data into a protected representation that requires authorized decryption to read.

Encryption safeguards customer data used by AI systems. When sending data to a third-party LLM, encrypt it both in transit and at rest. section 11.2.1

Treat encryption as part of a broader privacy and security approach:

  • Limit what data is sent with access controls, and audit LLM providers’ privacy commitments. section 11.2.1
  • For healthcare AI, HIPAA includes encryption among its security and privacy controls. section 11.2.3
  • Pair encryption with data isolation and access controls; encryption alone is not the only safeguard against exposure. section 11.2.3

How The Art of AI Product Development covers it

How deep it goes
Specifies encryption in transit and at rest, but does not explain cryptographic implementation.
Examples
Uses third-party LLM data flows and a ChatGPT data-leakage case to contextualize encryption safeguards.
What you can do after
Apply encryption to data sent to and received from third-party LLMs, both in transit and at rest.
How it connects
Connects encryption with privacy, access controls, data isolation, and AI governance.

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