AI Security & Secure AI Adoption Training
3 Days | Hands-On Labs | OWASP LLM Top 10 | AI Governance
Who is this for?
Security teams, IT/GRC leads, AI/ML engineers, product stakeholders, and compliance stakeholders involved in the secure adoption and governance of AI.
What you’ll learn:
Understand how AI systems work from a security perspective and identify the risks across the AI attack surface. The programme provides full coverage of the OWASP Top 10 for LLM Applications (2025), including prompt injection, sensitive information disclosure, supply-chain and model poisoning, improper output handling, excessive agency, system prompt leakage, vector and embedding weaknesses, misinformation, and unbounded consumption.
Learn practical approaches to AI red teaming, defensive controls, AI governance, acceptable-use policies, shadow AI management, third-party AI risk, monitoring, auditing, and AI incident response. The programme concludes with a secure AI adoption exercise covering risk classification, policies, vendor assessment, and monitoring.
Walk out with skills in:
AI Security · OWASP LLM Top 10 · AI Threat Assessment · Adversarial AI · AI Red Teaming · Agentic AI Security · AI Guardrails · AI Governance · NIST AI RMF · ISO/IEC 42001 · AI Acceptable Use Policies · Shadow AI Management · Third-Party AI Risk · AI Monitoring · AI Incident Response · Secure AI Adoption