Edocti Training
Cybersecurity and AI: Securing Public Administration Infrastructure
Scheduled sessions
No sessions are available at the moment.
Skills You Will Learn
AI Threat Landscape
Deepfake Detection
ML for Network Anomalies
Adversarial Machine Learning
Prompt Injection Defense
SOC Automation
NIS2 & EU AI Act Compliance
Curriculum
Offensive AI: How Attackers Use Machine Learning
- AI-Generated Phishing: The end of grammatical errors and the rise of hyper-personalized spear-phishing
- Deepfakes in Social Engineering: Voice cloning and video manipulation targeting public officials
- Automated Reconnaissance: Using LLMs to map vulnerabilities and generate exploit payloads
- Lab: Analyzing AI-generated malicious payloads vs. traditional payloads
Defensive AI: Enhancing the SOC
- Beyond rules: Using Unsupervised Learning for anomaly detection in network traffic
- AI in SIEM/SOAR: Automating log analysis and alert triage to reduce analyst fatigue
- Behavioral Analytics: Detecting compromised user accounts through ML-based profiling
- Lab: Training a simple anomaly detection model on network traffic logs (PCAP data)
Securing AI Systems (Adversarial Machine Learning)
- Data Poisoning: How attackers compromise model training data
- Model Evasion and Inversion: Bypassing ML-based spam filters and extracting model logic
- LLM Vulnerabilities: Deep dive into Prompt Injection and Jailbreaking internal government chatbots
- Lab: Executing and defending against a Prompt Injection attack on a RAG application
Incident Response and Future Trends
- Using LLMs for Incident Response: Automated forensic analysis and report generation
- Regulatory considerations: Incident reporting in the context of the NIS2 Directive and EU AI Act
- Tabletop Exercise: Responding to a simulated, AI-coordinated ransomware attack on a public agency
Course Day Structure
- Part 1: 09:00–10:30
- Break: 10:30–10:45
- Part 2: 10:45–12:15
- Lunch break: 12:15–13:15
- Part 3: 13:15–15:15
- Break: 15:15–15:30
- Part 4: 15:30–17:30