Training

Mobile devices dominate the intake list, and the desks of most digital forensics analyst 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.

What is SQLite and how to identify and analyze logically
Recognizing relevant locations of valuable data within SQLite database.
Develop skills needed for crafting custom SQLite queries.
Learn how to recognize and decode a variety of common timestamp formats.
Learn how to perform SQLite analysis with automation.

This course covers the acquisition, examination, and analysis of many types of financial records, including bank statements and checks, wire transfer records, and business records. Topics include recognizing and investigating common indicators of fraud, using spreadsheets to facilitate analysis and pattern recognition, and financial profiling. There is a strong focus on presenting financial evidence in multiple modalities: spreadsheet data outputs, graphic representations, and written/oral presentations.

*Introduction to analysis. Best practices. Finding patterns. Indicators of fraud. Presenting your findings.
*Financial records. Bank records. Business documents.
*Financial profiling. Methods of profiling. Reasons to create a profile. Creating a profile.
*Hands-on experience. Work a mock financial case as part of an investigative team.

This three-day course is dedicated to studying the fundamentals of quantitative and qualitative data analysis and how to formulate arguments in support of criminal investigations and intelligence. Students will learn about data management techniques and a disciplined process to clean and standardize data in preparation for analysis. The course will also explore several common investigative objectives, including the discovery of associations between people and entities, the correlation between unlawful activity and suspects, behavioral affinities, and predictions. The course will introduce the Enterprise Theory of Crime and how to use network analysis to formulate conclusions about the structure of criminal organizations, their players and roles, the identification of facilitators, charting of financial arrangements, and connections to unlawful activity. The course enables the production of valuable, accurate, and efficient logical inferences produced by collecting data related to unlawful activity.

This course addresses the critical need for well-trained intelligence analysts to interpret growing amounts of information. Topics include the intelligence cycle, analytical thinking skills, the importance of strategic analysis, communication and social media analysis, recommendation development, and legal and ethical issues. Students work hands-on with specialized software to synthesize information and develop various products of intelligence. The course was developed by a consortium that included NW3C, Law Enforcement Intelligence Units (LEIU), the International Association of Law Enforcement Intelligence Analysis (IALEIA), and the Regional Information Sharing System (RISS).

*Analysis basics. History and purpose of intelligence analysis. Legal issues and ethics. Sources of information. The intelligence cycle.
*Types of analysis. Crime patterns. Associations. Flow. Communications. Financial analysis.
*Creative and critical thinking. Brainstorming. Mind mapping. Steps to critical thinking.
*Deterring crime. Strategic analysis as a tool for law enforcement personnel.
*Hands-on experience. Work as part of a team to analyze information pertaining to several hypothetical cases.