With Privatemode AI, you can use cloud-based coding assistants while keeping your sensitive code fully confidential. Protect your company assets including trade secrets, and credentials – and ensure compliance.
AI coding assistants like GitHub Copilot and ChatGPT pose serious risks, including leaks of trade secrets, credentials, and compliance violations. Your confidential code is exposed to third parties, with some services retaining code snippets indefinitely.
Privatemode lets you use the latest AI coding assistants without putting your source code at risk.
Your data is encrypted before it leaves your device and stays protected during processing, thanks to confidential computing. This hardware-based technology keeps your data secure even while in use, and lets you verify that the AI runs in a trusted and isolated environment. For the first time, you can safely work with sensitive code using AI, without risking security.
Context-aware suggestions trained on your codebase without external exposure.
Identify security flaws while keeping code encrypted.
Automate comments and specs within a protected environment.
Capgemini, a global leader in tech consulting, is navigating security and compliance obstacles as it adopts AI coding assistants. They cannot risk their source code being accessed by third parties, so they need to avoid cloud solutions. However, on-premise options are deemed expensive and inflexible.
Capgemini has opted to leverage Privatemode AI's framework to address these challenges. This solution maintains compliance requirements while providing the scalability and cost-effectiveness necessary to advance their AI coding assistant projects, ensuring the security of both their own and their customers' code.
Contact us to schedule a demo and see how to leverage secure AI coding assistants. With Privatemode AI, you can be sure that nobody has access to your code, not even us.
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