There’s a lot of genuine concern around AI tools and data privacy. Many developers rightfully worry that using AI means handing over their code for model training. That’s not how Bito works.
Bito does not need to train on your code because the models it uses already understand programming languages. When you run a review or a chat request, Bito loads the exact parts of your codebase required for that task, including any related files and dependencies. It builds a complete, short lived working view of your repository so the model can reason about your code with full context.
That context is created temporarily, used only to generate the response, and deleted right after. Nothing is stored, nothing is reused, and nothing goes into a training pipeline. This post explains how that short lived context works, how your code moves through the system, and what Bito actually stores.
Read about it in our docs: https://docs.bito.ai/privacy-and-security
How AI models work in Bito
Bito doesn’t train on your code. It performs contextual inference. That means your request and its related code context are processed temporarily to generate a response. Nothing from that interaction is stored or reused.
Model training works differently. It collects large datasets, stores them, and adjusts a model’s internal parameters permanently. That process requires keeping user data and using it repeatedly.
Here’s how Bito keeps it separate:
- Your code and AI requests are processed only for that session.
- Inputs and outputs are not stored or reused.
- No code or requests are used for AI model training by Bito or its partners.
Bito works with trusted AI providers like OpenAI, Anthropic, and Google Cloud. All requests travel over HTTPS and are fully encrypted. The model processes the prompt, returns the response to Bito, and nothing is retained afterward.
How Bito processes your code
When you use the AI Code Review Agent:
- Bito checks out the diff and clones your repository only to perform static analysis and determine the relevant context for the review.
- This context and diff are sent securely to a third-party LLM such as OpenAI or Google Cloud.
- The model processes the request and returns the response to Bito.
- No code is retained by Bito or the LLM.
- After the review is complete, the diff and cloned repository are deleted.
Every interaction is encrypted, processed temporarily, and deleted immediately after completion.
Ephemeral context:
Each time you trigger a review or chat, Bito builds a temporary understanding of your code. It identifies only the files and functions needed to answer that specific request.
This context lives in memory and is deleted as soon as the response is returned. Nothing is written to disk or kept on Bito’s servers. The model sees only what it needs for that interaction, then forgets it.
For enterprise users, this process can run inside their own environment, whether local, private cloud, or Virtual Private Cloud. This setup keeps all processing under your control while maintaining the same level of privacy and performance.
More here: https://bito.ai/enterprise/security/
What Bito stores and what it doesn’t
Bito only keeps the information required to operate your account and ensure service reliability.
Stored data includes:
- Account details like name, email, and plan type
- Usage metrics such as number of queries or request timings
- Templates and settings you create inside Bito
Not stored or retained:
- Code, diffs, or repository content
- AI prompts, responses, or embeddings
- Temporary files created during reviews or chat sessions
All AI requests are encrypted over HTTPS. Any code or context used during inference exists only for that single interaction and is deleted immediately after completion.
Partners and compliance
Bito works with enterprise-grade AI providers that follow strict data privacy commitments. Our partners include OpenAI, Anthropic, and Google Cloud. All three confirm that data sent through their APIs is not stored or used for model training.
Bito is SOC 2 Type II certified, which means our systems and processes are regularly audited for data security, availability, and confidentiality. Every request sent through Bito is encrypted over HTTPS, processed in memory, and cleared once complete.
For organizations with higher security requirements, Bito can connect to your private LLM accounts or run fully within your own Virtual Private Cloud. This ensures all code and data remain within your infrastructure.
Bito also continuously monitors its overall security posture here: Bito Trust Center by Drata
Conclusion
Bito is built to help developers work faster without giving up control of their code. It doesn’t store your code, doesn’t train on it, and doesn’t build datasets from it. Every interaction is temporary, encrypted, and deleted once processed.
Your code stays yours, always. Bito simply helps you understand it faster.
by the Bito team. 
