In the intricate world of chip design, where global supply chains weave a complex web of interconnected components, a hidden threat lurks: hardware Trojans. These malicious modifications, inserted during the design or manufacturing process, can compromise the integrity and security of integrated circuits, potentially leading to data breaches, performance degradation, or even complete system failure. Traditional methods for detecting these Trojans often fall short, struggling to keep pace with the ever-evolving tactics of malicious actors. Enter SENTAUR, a groundbreaking framework that leverages the power of large language models (LLMs) to enhance Trojan assessment and bolster chip security. Unlike existing tools that require extensive training to identify Trojan signatures, SENTAUR bypasses this time-consuming process, rapidly generating a diverse range of potential Trojan designs based on the chip's specifications. This innovative approach enables security experts to proactively explore a vast attack landscape, anticipating potential vulnerabilities and devising effective countermeasures. By understanding how Trojans might manifest, designers can fortify their creations against these insidious threats. In a real-world test case involving an AES encryption benchmark, SENTAUR demonstrated its ability to generate synthesizable code that accurately reproduces the intended Trojan behavior. Furthermore, experiments with Xilinx FPGAs showcased SENTAUR’s versatility and effectiveness in identifying various Trojan triggers and payloads, including denial-of-service attacks, performance degradation, and information leakage. While the primary focus of SENTAUR is on hardware Trojan insertion and analysis, its underlying LLM-driven framework offers a broader potential for automated RTL code modification and functional integration. Imagine a future where chip designers can seamlessly integrate new features or patch vulnerabilities using simple, natural language descriptions. SENTAUR takes a significant step towards this future, paving the way for more secure, resilient, and adaptable chip designs in an increasingly interconnected world.