Computer

This forthcoming exam emphasizes secure evidence handling and analysis using Verakey platforms. It covers digital evidence verification, chain of custody, secure access controls, audit trails, and compliance with legal and regulatory standards.

This upcoming exam focuses on forensic analysis of video evidence. It includes video authentication, metadata analysis, enhancement techniques, timeline synchronization, integrity verification, and courtroom presentation of video-based evidence.

This exam validates knowledge of advanced iOS device acquisition and analysis using GrayKey technologies. Topics include iOS security architecture, extraction methodologies, encryption challenges, artifact interpretation, and validation of mobile forensic findings.

This exam prepares candidates for cloud-based forensic investigations. It covers cloud architecture, SaaS/PaaS/IaaS models, evidence acquisition from cloud platforms, legal challenges, log analysis, and data correlation across cloud and endpoint sources.

This preparation exam evaluates readiness for professional-level forensic examinations using Magnet tools. Topics include computer and mobile forensics, artifact analysis, timeline reconstruction, reporting, and legal considerations. It ensures candidates possess comprehensive investigative capabilities aligned with industry standards.

This exam validates advanced evidence recovery techniques using X-Ways Forensics. It covers file carving, slack space analysis, deleted data recovery, disk structure analysis, and validation of recovered artifacts. Emphasis is placed on efficiency, precision, and forensic defensibility.

This advanced exam assesses expertise in forensic analysis of Windows 10 systems. Areas include NTFS internals, registry analysis, event logs, memory forensics, timeline reconstruction, user activity artifacts, encryption, and anti-forensic detection. Candidates must demonstrate advanced investigative reasoning and defensible reporting.

This exam focuses on forensic analysis of SQLite databases commonly used in mobile and application data storage. Topics include database structure, WAL files, deleted record recovery, schema interpretation, timestamp analysis, and data validation. Candidates demonstrate the ability to extract evidentiary value from complex database artifacts.

This exam certifies the use of Python programming for forensic analysis and automation. Candidates are tested on script development for log analysis, artifact parsing, data correlation, automation of investigations, and validation of forensic outputs. Emphasis is placed on reproducibility, accuracy, and courtroom-defensible scripting practices.

This exam evaluates forensic skills related to In-System Programming (ISP) techniques for data extraction from mobile memory chips without full chip removal. Topics include test point identification, signal integrity, memory access protocols, and data reconstruction. Candidates must demonstrate precise, minimally invasive forensic acquisition techniques.