Program

Executive Master in AI Security

Build the expertise to take responsibility for AI security across your organization. Learn to assess AI risks, design secure systems, test their resilience and lead effective security decisions across the full AI lifecycle.
Start date

13.01.2027

Format

Instructor-led online

Degree

Executive Master in AI Security

Duration

12 months

Ideal candidate profiles

This Executive Master is designed for experienced professionals who build, secure or govern AI systems and want to develop end-to-end expertise across the AI security lifecycle.

Security leaders, governance & risk professionals

CISOs, security leaders and GRC professionals who need to assess AI risks, define controls and make informed decisions.

Cybersecurity & DevSecOps professionals

Professionals who want to expand into AI security, from threat modelling and adversarial testing to secure operations.

AI, ML & software professionals

Professionals who build or operate AI systems and need to secure them across the AI lifecycle.

Highlights of the program

Ready to lead AI security end to end?

Write your awesome label here.

Govern AI security

Turn AI strategy into risk-based policies, controls and metrics, and communicate clearly with boards and regulators.

Operate secure AI at scale

Run secure MLOps and SOC workflows with automated security gates, drift monitoring and response.

Design secure AI systems

Build zero-trust, privacy-preserving AI pipelines with threat models, SBOMs and audit-ready documentation.

Red-team and harden AI

Test models and LLM services against poisoning, evasion, extraction and jailbreak attacks, then strengthen their resilience.

Investigate AI incidents

Apply AI-focused forensics, preserve evidence and produce defensible incident reports within regulatory timelines.

Manage lifecycle risk

Assess third-party risk, define vendor controls and secure AI systems across their lifecycle.

Why choose this program?

End-to-end AI security expertise

Six expert modules connect governance, architecture, red teaming, operations, forensics and supply-chain security.

Hands-on AI security labs

Work in a private virtual machine and LLM red-teaming environment to test and secure AI systems.

Practice you can prove

Apply your skills through workshops, real-world cases and capstones built around practical AI security challenges.

Built for working professionals

Join live instructor-led classes, access recordings anytime and learn alongside experienced practitioners.

Learning formats
and modules

  • Live online classes + recordings
  • Adaptive learning at your level
  • Peer practitioner community
  • Private virtual machine + AI lab

AI security governance & risk

Secure AI architecture & development

AI red teaming & adversarial defense

AI security operations & incident response

AI lifecycle & supply-chain security

Meet your instructor

Guido Salvaneschi

Senior instructor
Guido is a researcher and cybersecurity enthusiast. He is leading the Programming Group at the School of Computer Science, University of St. Gallen, Switzerland. He holds a Ph.D. in Information Technology from Politecnico di Milano, Italy. His research has been supported, among others, by the German Research Foundation (DFG) and by the Swiss National Science Foundation (SNSF).