2026 Fall Cyber Sleuth Summit

About this event

More details coming soon.

Sessions

1. 11:00 AM – 11:50 AM EDT

   The First 60 Minutes of Digital Evidence: The Investigator Advantage

   Sharpen the focus on the critical first 60 minutes on-scene: identifying, preserving, and triaging volatile and high-value digital evidence to enable immediate investigative decisions. It emphasizes what is most important (leads for arrests, victim location, additional warrants), what is volatile (lost if mishandled), and practical on-scene decision-making under time pressure. Follow along as we dive into using ADF PRO and how it can help in the first 60 minutes

   

   Rich Frawley
   ADF Solutions
2. 12:00 PM – 12:50 PM EDT

   MD5: Virtualize Your Investigation

   Core principles and key features (including rapid VM creation, password bypass tools, triage capabilities, standalone VMs, and the ability to inject analysis tools). Most importantly, you’ll see how these capabilities translate into practical advantages: quicker triage to prioritize exhibits and reduce backlogs, access to software, settings, history, and data that are difficult to obtain in a traditional dead-box exam, and clearer ways to present findings to non-technical audiences such as prosecutors, clients, or the court.

   MD5 Software
3. 1:00 PM – 1:50 PM EDT

   AI Prompt Engineering for Investigators

   Artificial intelligence is becoming a practical tool for writing, analysis, research, automation, and decision support—but the quality of its output depends heavily on the quality of the request. This presentation introduces prompt engineering: the practice of designing clear, structured instructions that guide AI systems toward accurate, relevant, and useful responses. The session begins with an overview of AI, explaining in plain language what modern generative AI is, how large language models generate responses, and where they are strong, limited, and prone to error. Participants will gain a realistic understanding of AI capabilities so they can use these tools with appropriate expectations Next, the presentation breaks down the core components of an effective prompt, including the task or instruction, relevant context, input material, role or persona, constraints, examples, and desired output format. Participants will see how each component reduces ambiguity and helps the AI understand both "what" to do and "how' the result should be delivered. Finally, attendees will learn a practical framework for building an ideal AI prompt. Through live examples and before-and-after comparisons, the session demonstrates how to turn vague requests such as “write me a report” into precise prompts that specify the audience, objective, tone, structure, evidence requirements, and format. The presentation also covers iterative refinement, testing, evaluating, and improving prompts to achieve consistently better results. ) By the end of the presentation, participants will be able to understand the basics of generative AI, identify the essential parts of a strong prompt, and construct clear, repeatable prompts for everyday professional and personal use.

   GK

   Greg Kipper