Nate Nobel
Operation Node
Lakeland, FL
Nate Nobel is a Senior Law Enforcement Instructor within the Cyber Division of the Department of Homeland Security and a former law enforcement officer with approximately a decade of experience in patrol, investigations, and specialized cybercrime units.
During his law enforcement career, Nate served as a Task Force Officer with both the Internet Crimes Against Children (ICAC) Task Force and the United States Secret Service Cyber Fraud Task Force, where he conducted complex investigations involving online exploitation, financial crimes, and digital evidence.
He holds multiple federal certifications, including Digital Forensics Investigator II and the Law Enforcement Instructor Program through the Department of Homeland Security, as well as the Cyber Investigators Certificate Program through the FBI.
In addition to his investigative background, Nate brings experience as a software engineer, allowing him to bridge the gap between technology and real-world law enforcement operations. His instruction focuses on practical application, equipping officers with the tools and techniques needed to operate effectively in today’s digital investigative environment.
Disclaimer: Nate Nobel’s affiliation with the Department of Homeland Security is provided for professional background and qualification purposes only and does not imply endorsement or sponsorship of any training, course, or material.
During his law enforcement career, Nate served as a Task Force Officer with both the Internet Crimes Against Children (ICAC) Task Force and the United States Secret Service Cyber Fraud Task Force, where he conducted complex investigations involving online exploitation, financial crimes, and digital evidence.
He holds multiple federal certifications, including Digital Forensics Investigator II and the Law Enforcement Instructor Program through the Department of Homeland Security, as well as the Cyber Investigators Certificate Program through the FBI.
In addition to his investigative background, Nate brings experience as a software engineer, allowing him to bridge the gap between technology and real-world law enforcement operations. His instruction focuses on practical application, equipping officers with the tools and techniques needed to operate effectively in today’s digital investigative environment.
Disclaimer: Nate Nobel’s affiliation with the Department of Homeland Security is provided for professional background and qualification purposes only and does not imply endorsement or sponsorship of any training, course, or material.
Courses
Training courses currently offered.
Frontline Digital Forensics
8 Hours
Digital evidence can be part of nearly any investigation, and what happens during the first few minutes on scene can determine whether that evidence is preserved or compromised.
Frontline Digital Forensics is a practical, hands-on course designed for patrol officers, first responders, new detectives, and ICAC personnel who need a working understanding of digital evidence without becoming forensic examiners.
Students will learn how to identify, preserve, document, and triage common digital evidence while avoiding mistakes that can alter or compromise it. The course combines foundational legal and procedural considerations with hands-on experience using FTK Imager, Autopsy, and Cipher for basic digital evidence acquisition and review. Students will also learn when a device or investigation should be escalated to a trained digital forensic examiner.
Approximately 50% of the course is hands-on, and no prior forensic tool experience is required.
A major takeaway: Attendees leave with working copies of FTK Imager, Autopsy, and Cipher for use at their home agency at no additional licensing cost.
Frontline Digital Forensics is a practical, hands-on course designed for patrol officers, first responders, new detectives, and ICAC personnel who need a working understanding of digital evidence without becoming forensic examiners.
Students will learn how to identify, preserve, document, and triage common digital evidence while avoiding mistakes that can alter or compromise it. The course combines foundational legal and procedural considerations with hands-on experience using FTK Imager, Autopsy, and Cipher for basic digital evidence acquisition and review. Students will also learn when a device or investigation should be escalated to a trained digital forensic examiner.
Approximately 50% of the course is hands-on, and no prior forensic tool experience is required.
A major takeaway: Attendees leave with working copies of FTK Imager, Autopsy, and Cipher for use at their home agency at no additional licensing cost.
Generative AI for Law Enforcement
16 Hours
Generative AI for Law Enforcement is a two-day, hands-on course designed to give law enforcement professionals a practical understanding of artificial intelligence, how it is already impacting policing, and how agencies can use it responsibly.
Students will explore the foundations of generative AI and examine real-world applications including OSINT, digital forensics, translation, report writing, and investigative support. The course compares leading AI platforms such as ChatGPT, Gemini, Claude, and Microsoft Copilot while addressing data security, CJIS considerations, local versus cloud deployment, and emerging open-weight AI models.
Special attention is given to the legal and evidentiary challenges surrounding AI, including Fourth Amendment considerations, Brady/Giglio, Daubert standards, chain of custody, wrongful-arrest risks, and maintaining the integrity of AI-assisted work.
Students will also learn techniques for identifying AI-generated content and deepfakes, examine emerging technologies such as C2PA and SynthID, and discuss practical approaches to agency policy, oversight, governance, and responsible AI implementation.
Students will explore the foundations of generative AI and examine real-world applications including OSINT, digital forensics, translation, report writing, and investigative support. The course compares leading AI platforms such as ChatGPT, Gemini, Claude, and Microsoft Copilot while addressing data security, CJIS considerations, local versus cloud deployment, and emerging open-weight AI models.
Special attention is given to the legal and evidentiary challenges surrounding AI, including Fourth Amendment considerations, Brady/Giglio, Daubert standards, chain of custody, wrongful-arrest risks, and maintaining the integrity of AI-assisted work.
Students will also learn techniques for identifying AI-generated content and deepfakes, examine emerging technologies such as C2PA and SynthID, and discuss practical approaches to agency policy, oversight, governance, and responsible AI implementation.