The field of data processing and access control is moving towards scalable and efficient solutions. Recent developments focus on improving the performance of large-scale data segmentation, query processing, and access control policy enforcement. Innovations in GPU-accelerated libraries, middleware for relational database management systems, and domain-specific languages for data layout optimization are advancing the field. Noteworthy papers include: Advancing Annotat3D with Harpia, which introduces a CUDA-accelerated library for large-scale volumetric data segmentation, and Scalable Enforcement of Fine Grained Access Control Policies in Relational Database Management Systems, which presents a middleware for optimizing FGAC policy enforcement. Additionally, Compiling Set Queries into Work-Efficient Tree Traversals and Data Layout Polymorphism for Bounding Volume Hierarchies showcase innovative approaches to query optimization and data layout management.