AI Threats and Cybersecurity
Enable security and risk professionals to understand the main threats to AI systems, including prompt injection, data poisoning and model extraction, and to assess and control them through access control, secure architecture and monitoring.
Upcoming course. LMS delivery and enrolment are not open. Release dates will be confirmed.
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Planned learning outcomes
- Explain prompt injection, data poisoning and model extraction, and map them to recognised threat taxonomies
- Assess the likelihood and impact of AI threats against a specific system's assets and trust boundaries
- Apply identity and access controls to users, data, models and AI agents
- Evaluate AI system architecture for trust boundaries, isolation and layered defences
- Design monitoring, detection and incident response for AI-specific threats
- Prepare an AI cybersecurity threat assessment with prioritised controls and residual risk