AI Usage Document

Typo AI Usage & Data Security

As part of our commitment to security, privacy, and compliance, we aim to provide clarity on how we utilize AI-powered large language models (LLMs), such as OpenAI and Google Gemini, for automated code reviews and code fixes.

Enterprise-Grade AI Usage

While using paid-only versions of OpenAI and Google Gemini, we have configured them in a way that ensures :

• Data is not shared with third parties: The enterprise agreements guarantee that user inputs and outputs are not used to train the models or shared externally.

• No storage or retention: We do not store any data from these interactions beyond the processing session.

• Strict access controls: The AI integrations are configured within our secure infrastructure to prevent unauthorized access.

Security & Compliance Measures

• Encryption & Secure Processing: Data processed by AI models remains secure within encrypted environments.

• No AI Model Training on Client Data: The AI providers explicitly state that enterprise users’ inputs are not used for training or improving AI models.

• Internal Controls: Our internal processes further ensure that no data is stored, logged, or used beyond its immediate purpose.

Additionally, we are SOC2 & GDPR compliant, ensuring that the industry's best security protocols are followed across our entire system. Here’s our trust centre that lists out all the details for further reference: Trust Centre

Commitment to Client Confidentiality

We remain dedicated to protecting client data and ensuring that AI-assisted workflows adhere to industry best practices for security and compliance. If you have any further questions or need additional assurances, please feel free to reach out at [e-mail].