This research explores how Large Language Models can transform hardware design by automating development while simultaneously enhancing security protection.

• Leverages specialized LLMs trained on HDL datasets to generate secure hardware code
• Identifies hardware vulnerabilities earlier in the design process
• Creates automated systems for register-transfer level designs with built-in security
• Represents a significant shift in how secure hardware can be developed at scale

This work is critical for the security industry as it addresses the growing need for hardware-level protection against sophisticated threats while reducing development time and costs.

Hardware Design and Security Needs Attention: From Survey to Path Forward