AI in Cyber-Warfare: Simulating Attacks and Rapid Defense Strategies
Weg: Education
This course demonstrates how Artificial Intelligence can simulate large-scale cyberattacks on military systems and train commanders in rapid, coordinated defense strategies. AI-driven scenarios recreate threats such as system breaches, communication jamming, malware infiltration, and coordinated cyber–physical attacks. Trainees are challenged to respond under pressure, testing countermeasures, restoring operations, and maintaining mission continuity. The course highlights AI’s role in preparing military leaders for the speed, unpredictability, and evolving nature of cyber warfare.
#Cyber_Defense Simulation#AI-Driven_Attack Scenarios#Information_Warfare#Rapid_Response Strategies#Operational_Resilience
1. Analyze AI-enabled adversary TTPs and operational threat intelligence using MITRE ATT&CK (via ATT&CK Navigator) and structured feeds (STIX/TAXII, MISP) to prioritize mission-critical assets and rules of engagement.
Lernziele:
1. Collect, normalize, and score multi-source threat intelligence (STIX/TAXII, MISP) with confidence ratings and relevance to the mission.
2. Map observed or simulated behaviors to MITRE ATT&CK tactics and techniques using ATT&CK Navigator layers.
3. Rank mission systems by criticality, exposure, and dependency using a risk matrix tied to operational impacts.
4. Define rules of engagement and escalation thresholds in coordination with legal and command authority, documenting constraints and acceptable actions.
5. Validate intelligence quality by cross-referencing independent sources and establishing source reliability and timeliness metrics.
2. Design and configure an isolated cyber range to emulate AI-driven multi-vector attacks using MITRE CALDERA, Atomic Red Team, GNS3/NS-3, and GNU Radio, with full observability and safety controls.
Lernziele:
1. Provision a segmented, isolated lab environment using virtualization/containers and synchronized time sources (e.g., NTP/PTP).
2. Deploy CALDERA agents and Atomic Red Team tests to emulate specific ATT&CK techniques with parameterized scenarios and repeatability.
3. Integrate network emulation (GNS3/NS-3) and SDR/GNU Radio modules to simulate link degradation and jamming conditions.
4. Instrument comprehensive telemetry (Zeek, Suricata, OSQuery, syslog) and forward to a centralized SIEM; verify timestamp coherence and data completeness.
5. Enforce safety controls preventing propagation beyond the range (air gaps, egress filtering, data sanitization) and document test boundaries.
6. Validate scenario realism against defined KPIs (latency, packet loss, dwell time, error rates) and adjust parameters to meet target profiles.
