The Undercover Operations Model, based on Law Enforcement practice, involves covert infiltration to gather evidence and intelligence. It focuses on identity creation, role immersion, and controlled engagement with suspects, enabling investigators to uncover hidden activities, disrupt criminal networks, and support prosecutions while maintaining operational security and legal compliance.
The SIGINT Analysis Model, influenced by the National Security Agency, focuses on collecting and analysing electronic communications and signal data. It supports investigators in intercepting, decoding, and interpreting transmissions, enabling intelligence gathering, threat detection, and strategic decision-making in cyber, military, and national security investigations.
The HUMINT Collection Model, developed within the United States Intelligence Community, focuses on gathering intelligence through human sources. It involves recruitment, handling, and debriefing of informants to obtain valuable information, supporting investigations, threat assessments, and operational decision-making in security, law enforcement, and intelligence environments.
The OSINT Investigation Model, influenced by Michael Bazzell, focuses on collecting and analysing publicly available information from digital and open sources. It supports investigators in identifying leads, verifying identities, tracking activities, and gathering intelligence ethically, enhancing investigative efficiency in cyber, financial, and criminal investigations.
