The field of digital identity and extended reality (XR) is rapidly evolving, with a growing focus on security and privacy. Researchers are developing innovative frameworks and approaches to address the complex challenges posed by these emerging technologies. One notable trend is the integration of expert analysis and critique to identify patterns and inform best practices for digital identification systems. Additionally, there is a increasing emphasis on interdisciplinary approaches to securing inclusive and trustworthy immersive environments, highlighting the need for integrated technical and human factors considerations. Noteworthy papers include: The Risk Assessment Framework for Digital Identification Systems, which introduces a robust framework for evaluating and enhancing privacy and security in digital identification systems. Towards Trustworthy AI: Secure Deepfake Detection using CNNs and Zero-Knowledge Proofs, which proposes a novel two-stage framework for detecting deepfake imagery in real-time XR streams while ensuring user data privacy.