Comprehensive guide to extracting and analyzing evidence from mobile devices. Tools, techniques, and legal considerations.

Best practices for preserving digital evidence integrity. Hashing, documentation, and courtroom admissibility standards.

Exploring vulnerabilities in Retrieval-Augmented Generation systems. Prompt injection, data poisoning, and mitigation strategies.

Using machine learning to identify synthetic media. Techniques for detecting manipulated audio, video, and images.

Common vulnerabilities in IoT devices and networks. Firmware analysis, network segmentation, and threat modeling.

Extracting and analyzing evidence from smart devices. Memory dumps, log analysis, and timeline reconstruction.