SABLE: Secure LLM Framework for NDA in Analog Circuit EDA Optimization

The integration of large language models (LLMs) into the electronic design automation (EDA) workflow promises to accelerate analog circuit optimization, but it clashes with critical intellectual property and confidentiality barriers. Industrial environments cannot expose sensitive data such as foundry PDKs, proprietary schematics, or simulation paths to cloud endpoints. In this context, SABLE emerges as a closed and secure NDA framework that allows LLMs to interact with tools like Cadence Virtuoso, Maestro, and Spectre, returning only sanitized information: topological intent, numerical metrics, operating point summaries, and controlled write status. This approach not only protects intellectual property but also demonstrates that complex optimizations are possible in tasks such as designing a 20 GHz LC VCO or a two-stage operational amplifier, where compliance with specifications across multiple PVT corners is required. The key lies in an explicit threat model, a whitelist of SKILL entry points, systematic information filtering, and machine-verifiable stop conditions. Model quality varies significantly when tool discipline, bias reasoning, and specification repair are required, but the sanitized boundary provides sufficient feedback for success. For companies seeking to implement similar solutions, the combination of artificial intelligence with secure, customized platforms is essential. At Q2BSTUDIO, we develop custom applications that integrate AI agents, advanced cybersecurity, and AWS and Azure cloud services, enabling organizations to adopt these capabilities without compromising their intellectual property. Additionally, we offer business intelligence services with Power BI to monitor the performance of design flows. AI-assisted analog circuit optimization is just one example of how custom software, process automation, and AI agents can transform entire industries, always within a security and confidentiality framework that ensures regulatory compliance and protection of corporate know-how.