Artificial Intelligence (AI) in Cyber Forensics: Investigating Advanced Cyber Crimes

Why Attend

Digital investigations now involve terabytes of logs, devices and messages, AI-generated fraud and deepfakes. Manual review cannot keep up. This LLMI course shows investigators how AI and machine learning speed up evidence collection, analysis and attribution, while keeping the chain of custody and the evidence admissible in court.

Participants begin with the foundations of cyber forensics and the types of crime they will meet, then work with AI-powered tools for evidence collection, anomaly detection, malware analysis and threat attribution. Day three covers big-data, log and network-traffic analysis with AI-driven visualisation; day four is hands-on, using natural language processing to examine text evidence and techniques to detect deepfakes and AI-generated fraud. The final day addresses legal frameworks, admissibility of AI-analysed evidence and how to build an AI-enabled forensic capability.

The course balances technology with procedure, so investigators, security teams and legal professionals finish it able to use AI to find the evidence faster and to defend how it was found.

Course Objectives

Explain how AI supports each stage of a digital forensic investigation

Use AI-assisted tools to collect, preserve and triage digital evidence

Apply machine learning for anomaly detection, pattern recognition and threat attribution

Analyse large log and network-traffic datasets with AI-driven visualisation

Use natural language processing to review emails, chats and documents at scale

Detect deepfakes and AI-generated fraud in an investigation

Maintain chain of custody and admissibility for AI-analysed evidence

Plan an AI-powered cyber forensics capability for an organisation

Target Audience

Digital forensic investigators and examiners

Cybersecurity and incident response professionals

Law enforcement officers handling cyber crime

Legal counsel, prosecutors and compliance teams dealing with digital evidence

Fraud, audit and risk investigators

IT administrators supporting investigations

Course Methodology

Expert briefings on forensic process and AI techniques

Demonstrations of AI-powered forensic and analysis tools

Hands-on exercises using realistic cyber crime scenarios

Case studies on deepfake, fraud and malware investigations

Discussion of court admissibility and legal frameworks with practical examples