The field of formal verification and access control is moving towards more efficient and scalable solutions. Researchers are exploring new approaches to verify the safety and security properties of complex systems, including the use of machine learning and artificial intelligence. One of the key directions is the development of novel type systems and verification techniques for programming languages and models, such as P4 programs and hybrid automata. Another area of focus is the improvement of access control models, including attribute-based access control (ABAC) and the next-generation access control (NGAC) model. Notably, the development of interactive platforms, such as ABAC Lab, is facilitating the analysis and evaluation of access control policies. Noteworthy papers include: Safety Analysis in the NGAC Model, which presents an algorithm for the safety problem that significantly outperforms naive brute force search. Securing P4 Programs by Information Flow Control, which introduces a novel security type system for analyzing information flow in P4 programs. Probabilistic Bisimulation for Parameterized Anonymity and Uniformity Verification, which presents a novel logical framework for analyzing bisimulation in probabilistic parameterized systems.