Training Delivery - Live Video (VTC)

    DF201 Intermediate Digital Forensic Analysis: Automated Forensic Tools

    This course provides students with the fundamental knowledge and skills necessary to perform a limited digital forensic examination, validate hardware and software tools, and effectively use digital forensic suites and specialized tools. The course begins with a detailed study of the digital forensic examination process, including documentation, case management, evidence handling, validation, and virtualization. Students learn to use today's leading commercial and open source digital forensic suites: Magnet Axiom, X-ways Forensic, and Autopsy. Instruction on each suite will include an interface overview, configuration, hashing, file signature analysis, keyword searching, data carving, bookmarking, and report creation.

    *Digital forensic process. Evidence review; requests for examination; case management.
    *Validation. Creation of validation images; validation testing.
    *Effective tool usage. Tool interface; hashing; file signature analysis; data carving; searching; metadata; bookmarking.
    *Reporting. General report structure; report templates; using tool-generated reports.

    IA105 Intelligence Writing and Briefing (Sept. 14, 2021, Virtual)

    This course covers basic intelligence writing and briefing principles, as well as methods for effective and clear intelligence sharing. Topics include creative/critical thinking and critical reading skills, source evaluation, privacy and civil rights, intelligence writing structure and style, and creating and presenting intelligence briefings. With guidance from experienced experts, students gain hands-on experience by working through datasets based on real cases to produce intelligence products. Instructors and peers provide feedback on briefings and reports produced and presented in class.

    FC102 Financial Investigations Triage (Sept. 15, 2021, Virtual)

    This course provides an overview of the actions investigators can take at the outset of a financial crime investigation. Students learn to ask critical questions, gather documentation, and analyze information for leads. Topics include obtaining and working with financial records, red flags in financial cases, money laundering, investigative strategies for different types of financial crimes, and commingled funds.

    FC201 Financial Records Investigative Skills (Sept. 21–23, 2021, Virtual)

    This course builds on the concepts introduced in "Financial Crime (FC) 101 - Financial Investigations Practical Skills" and "FC 105 - Financial Records Examination and Analysis," introducing investigators and prosecutors to emerging issues in financial crime. Topics include money laundering, analyzing large financial data sets, conducting effective interviews, and managing large amounts of financial evidence. This course consists of a mix of lecture, discussion, and hands-on exercises. Students conduct a mock investigation that includes interviews, data analysis, and the examination of various documents.

    DF101 Basic Digital Forensic Analysis: Windows Acquisition (Virtual, Sept. 28–30, 2021)

    This course provides the fundamental knowledge and skills required to acquire forensic backup images of commonly encountered forms of digital evidence (Microsoft Windows-based computers and external storage devices) in a forensically sound manner.

    IA103 Introduction to Strategic Intelligence Analysis (Aug. 31, 2021, Virtual)

    This course introduces analysts to the broader concepts of connecting the dots through link analysis. A critical portion of conducting a successful analytical investigation is the ability to link together and understand the complexities of the connectedness between people and organizations. Introduction to Link Analysis expands on the basic principles of link and association analyses explored in the Foundations of Intelligence Analysis Training while building a framework for more advanced methods such as social network analysis.

    CI101 Basic Cyber Investigations: Digital Footprints (Sep. 1, 2021, Virtual)

    This course introduces learners to the concept of digital footprints and best practices in protecting personally identifiable information (PII). Topics include limiting an individual’s digital footprint, protecting privacy on social media, and the consequences of oversharing personal information, as well as steps to take after becoming a target of doxing.

    CI103 Basic Cyber Investigations: Advertising Identifiers (Sep. 1, 2021, Virtual)

    This one-day course, focused on device location information, is for law enforcement investigators and analysts. Class concepts include device identifiers (IDs) in general, advertising IDs in detail, important legal considerations, overall investigative process, and tools available to law enforcement. Students will use commercially available investigative tools for querying databases of Advertising IDs and displaying their recorded broadcast locations.

    DF205 Intermediate Digital Forensic Analysis: SQLite Primer (Sept. 1, 2021, Virtual)

    Mobile devices dominate the intake list and the desks of most digital forensics analysts globally. Devices are becoming more secure, with an increase in security; the need for detailed analysis is increasing as well. SQLite is a self-contained, serverless database engine. It is found on nearly every operating system and dominates iOS, Android, and macOS as one of the most prevalent and relevant data storage mechanisms. Rather than hope our forensic tools support the newest applications or be tethered to how a certain utility parses data, we can arm ourselves with the skills and techniques needed to conquer the analysis of nearly any application.

    IA102 Introduction to Link Analysis (Sept. 2, 2021, Virtual)

    This course introduces analysts to the broader concepts of connecting the dots through link analysis. A critical portion of conducting a successful analytical investigation is the ability to link together and understand the complexities of the connectedness between people and organizations. Introduction to Link Analysis (ILA) expands on the basic principles of link and association analyses explored in the Foundations of Intelligence Analysis Training (FIAT) while building a framework for more advanced methods such as social network analysis.

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