The field of security and hardware design is witnessing significant innovations, particularly in the application of large language models (LLMs) and distributed architectures. Researchers are leveraging LLMs to automate tasks such as threat modeling, test plan generation, and assertion synthesis, leading to improved efficiency and accuracy. Distributed solutions are being developed to enhance password analysis and hardware security verification. Moreover, there is a growing focus on ensuring the security and fairness of hardware design processes, including the generation of copyright-infringement-free Verilog codes. Another area of interest is the development of novel frameworks and tools for assessing browser security posture and optimizing program synthesis. Noteworthy papers in this area include: HashKitty, which presents a distributed platform for password analysis. Free and Fair Hardware, which introduces an open-source Verilog dataset and a fine-tuned LLM for Verilog generation. ThreatLens, which proposes an LLM-driven framework for automating security threat modeling and test plan generation. Spec2Assertion, which leverages LLMs with progressive regularization for automatic assertion generation. Browser Security Posture Analysis, which presents a comprehensive framework for assessing browser security. eqsat, which proposes a new MLIR dialect for representing e-graphs in MLIR code.