The field of secure computing and cryptography is rapidly advancing, with a focus on developing innovative solutions to protect sensitive data and ensure the integrity of computational processes. Recent developments have centered around the creation of more efficient and secure encryption schemes, such as fully homomorphic encryption, which enables computations to be performed on encrypted data without compromising its security. Additionally, researchers are exploring new approaches to hardware-based security, including the use of physical unclonable functions and analog computing systems. Noteworthy papers in this area include: GRAFHEN, a new cryptographic scheme that offers fully homomorphic encryption without the need for bootstrapping, achieving significant performance improvements. The adaptation of noise-driven physically unclonable functions and machine learning-assisted anomaly detection for secure wide-bandgap industrial control systems, demonstrating high detection accuracy and low latency.