What security and privacy considerations apply when sending company code to an AI tool?

Question

Accepted Answer

Treat an AI provider exactly like **any third-party data processor**: whatever you paste leaves your boundary and is subject to their handling, retention, and training policies. The core question is *where does this data go, who can see it, and is it used to train a model?*

## What to check before sending anything

- **Data handling and retention** — does the provider store prompts? For how long? Can you opt out of retention?
- **Training policy** — is your input used to train future models? Consumer tiers often say yes by default; that can leak proprietary logic.
- **Data processing agreement** — is there a DPA, and does it meet your compliance needs (GDPR, SOC 2, etc.)?

## What you must never leak

- **Secrets** — API keys, tokens, passwords, connection strings. Redact them before pasting; rotate any that slip through.
- **PII / customer data** — names, emails, health or financial records. Often a regulatory violation, not just a bad idea.
- **IP and licensing** — proprietary algorithms and code under restrictive licenses. Sending it out, or accepting AI output of unknown provenance, both carry legal risk.

## Safer practices

- **Use enterprise / zero-retention tiers** or **self-hosted models** for sensitive work — these contractually exclude training and minimize retention.
- **Redact** secrets and PII; share a minimal, anonymized snippet instead of the whole file.
- **Follow company policy** — many orgs have an approved-tools list; don't route code through unsanctioned tools.
- **Prefer tools with a real data agreement** over whatever is convenient.

## Why it matters

Code is one of a company's most sensitive assets — it encodes IP, security design, and often customer data. Pasting it into the wrong AI tool can mean a permanent leak into a training corpus, a compliance breach, or handing your proprietary logic to a third party you never vetted. The mindset that keeps you safe is simple: an AI endpoint is an external processor, so apply the same scrutiny you'd apply to any vendor — read the policy, minimize what you send, and prefer tiers and tools that contractually protect your data.