Question: Can you recommend a solution that embeds privacy controls directly into application code to prevent data leakage?

For a solution that builds privacy controls directly into application code to stop data leaks, Streamdal is a top contender. This platform builds privacy controls directly into your application code, monitoring and blocking data exposure in real-time. It has composable preprocessors and postprocessors, manual instrumentation and flexible deployment options, and supports mainstream programming languages. Its open-source design means it's faster, cheaper and easier to run than more traditional alternatives.

Another powerful option is ClearGPT, which uses generative AI and Large Language Models (LLMs) for enterprise-level security. ClearGPT is designed for internal enterprise use and prevents data leakage and provides maximum control over sensitive information. It has role-based access, continuous fresh data, and can be easily integrated with existing applications, making it a great option for automating and increasing productivity while protecting your IP.

For developers who need a tool that provides real-time security context, DryRun Security is a good option. This drop-in solution provides fast and accurate security code reviews, using AI to analyze pull requests and flag potential risks. It supports multiple languages and frameworks and integrates directly with GitHub repositories, so your development pipeline stays secure and efficient.

Last, GitGuardian is a code security platform that specializes in detecting and remediating hardcoded secrets in source code. It continuously monitors Git repositories for sensitive data and offers real-time detection, high-fidelity alerts and remediation tools. This helps you ensure secure software development practices and gives developers and security teams the ability to work together effectively.