Why ChatGPT for code review risks your data

Using public versions of ChatGPT for code review involves sending your proprietary source code to external servers. This creates significant risks of data leaks and IP theft, as your data might be used to train future models. Lyzr provides a private alternative where your code stays in your VPC.

While ChatGPT Enterprise offers basic encryption, Lyzr allows for full on-premise or VPC deployment. This ensures that your code never leaves your network. Additionally, Lyzr supports multi-model switching, allowing you to use different LLMs like Llama 3 or Claude for specific code analysis tasks.

ChatGPT lacks robust, enterprise-grade governance layers. With Lyzr, you can build custom review agents trained on your specific documentation and internal coding standards. This ensures that every automated review follows your unique architectural patterns and security requirements precisely and consistently across the entire organization.

Yes, Lyzr includes infrastructure-level PII and secret redaction. Before code snippets are analyzed, our system automatically identifies and masks API keys, passwords, and sensitive information. This provides a layer of security that standard chat-based tools simply do not offer to engineering teams today.

Lyzr uses a consumption-based pricing model rather than seat-based fees. This is more cost-effective for large engineering teams, as you only pay for the resources you use. It eliminates the financial friction of adding new developers to the platform, making it much easier to scale AI across your organization.

Absolutely. Lyzr is designed to be a strategic upgrade from basic prompting. You can easily migrate your existing review logic into our agentic framework. This allows you to keep the efficiency of AI while adding the critical layers of security, governance, and private deployment your enterprise requires.

No, Lyzr is model-agnostic. Unlike tools locked to a single provider, Lyzr allows you to switch between different LLM providers seamlessly. This future-proofs your AI strategy, ensuring you can always use the best available model for code review without being tied to a single vendor's ecosystem or pricing.

Lyzr maintains comprehensive, enterprise-grade audit trails of every interaction. This includes detailed logs of which code was reviewed, what suggestions were made, and who accessed the system. These logs are essential for companies in regulated industries that must prove strict data handling and security compliance at all times.

Yes, because Lyzr uses RAG and agentic orchestration. Instead of a generic prompt, our agents have access to your internal context and technical documentation. This leads to far more relevant and accurate code suggestions compared to a generic tool that lacks specific knowledge of your unique codebase and architecture.

Yes, Lyzr is built for flexible deployment. You can run the entire platform on-premise or within your own Virtual Private Cloud. This gives your IT and security teams total control over the infrastructure, ensuring that your most sensitive code never touches the public internet or any third party servers.