EXECUTIVE PROGRAM
Executive Master in AI Security
Master the entire AI security lifecycle, from board-level governance to red-team adversarial defense.
Develop the full range of skills you need to secure AI systems end to end. Over 12 months, you’ll learn to govern AI portfolios, design zero-trust pipelines, red-team and harden models, run secure AI operations, and investigate incidents to a court-ready standard. It’s built for cyber security experts, AI and ML engineers, and digital risk leaders who turn AI risk into real controls, audit evidence, and board decisions.
Start dates
13 January 2027
Duration
12 months
Program fee
CHF 12’000
Format
Instructor-led online learning
Level
Expert
Degree
Executive Master in AI Security
Communicate with clarity
Communicate your AI security posture to executives, boards, and regulators through clear dashboards, red-team after-action reports, and risk and ethics briefs that hold up under challenge.
Govern with strategy
Govern AI portfolios end to end, turning strategy into risk-based policies, controls, and key risk indicators.
Design for zero-trust
Design and document zero-trust, privacy-preserving ML pipelines, complete with SBOMs, threat models, and audit-ready artifacts.
Defend against adversaries
Attack, measure, and harden models and LLM services against poisoning, evasion, extraction, and jailbreak techniques, and raise their robustness benchmarks.
Operate with automation
Operate and automate secure MLOps and SOC workflows, with SAST, IaC, and CVE gates, runtime drift monitoring, and SOAR-driven self-healing responses.
Investigate with precision
Investigate and remediate AI incidents with GPU-level forensics, sound chain of custody, and court-quality breach dossiers delivered within regulatory timelines.
Manage the supply chain
Manage third-party and supply-chain risk with composite SBOMs, vendor security SLAs, live KPI dashboards, and secure decommissioning.
What you’ll be able to do
By the end of the Executive Master in AI Security, graduates will be able to:
Learning content and methodology
Andragogical approach: Practice-driven, learner-centered
Key modules
AI Security governance and risk management
Secure AI architecture and development
AI red-teaming and adversarial defense
AI Security engineering and operations
AI Security forensics and incident response
AI Security lifecycle and supply-chain controls
Learning formats
Live classes, with every session recorded and available anytime, anywhere
Adaptive learning that meets you at your level
A peer-to-peer community of practitioners
Your own private virtual machine and AI lab, full of challenges
Registration is open now
Book A Free Consultation Call
FAQ
It’s for professionals who have to secure, govern, and defend AI systems in regulated industries — cyber security practitioners and engineers, DevSecOps experts, and AI and ML engineers. It’s an expert-level program, so it’s the right fit if you already work with AI or security systems and want end-to-end mastery across the whole lifecycle.
We assume you’re already fluent with Linux, Python, networks, cloud, and basic ML workflows. You don’t need to be an expert in every area — the program builds on a shared foundation in AI systems security — but you should be comfortable working hands-on in a technical environment. If you’re not sure whether your background fits, book a free consultation call and we’ll talk it through with you.
The next cohort starts on 13 January 2027, and the program runs for 12 months.
Each module runs over six weeks and includes 24 hours of live, instructor-led sessions plus 24 hours of self-paced work — roughly eight hours a week while a module is active. You move through the modules in sequence across the 12 months.
Yes, it’s delivered online and led by instructors in live classes. We record every session, so if you can’t make one live, you can watch it anytime, anywhere and keep pace with your cohort.
Our approach is practice-driven and learner-centered. You’ll spend most of your time in live workshops, hands-on labs in your own private virtual machine and AI lab, group projects, and real-world case studies — learning by doing rather than by lecture.
The program follows the AI security lifecycle. After a shared foundation in AI systems security, you’ll work through six expert modules: governance and risk management, secure architecture and development, red-teaming and adversarial defense, security engineering and operations, forensics and incident response, and lifecycle and supply-chain controls.
Each module ends in a capstone you have to complete to earn the diploma. The capstones are deliberately different — from a board-brief simulation and a secure-pipeline build to an LLM red-teaming challenge and a court-quality breach dossier — so you graduate with evidence across the full range of skills.
You earn the Executive Master in AI Security diploma from the Swiss Cyber Institute. Each module also carries its own standalone certificate, so you build recognized credentials as you progress.
Each module is a self-contained specialization with its own certificate. If you’d like to take one module to build a specific skill rather than complete the full program, you can do so. Please, get in touch and we’ll talk through your options.
The program fee is CHF 12’000. It covers all modules, the live sessions and their recordings, your private virtual machine and AI lab, the LLM red-teaming lab, the peer community, and the diploma. If you’d like to discuss payment options, contact us.
The program is taught in English.
Applications are open. Use the Apply now button to begin your application, and our team will be in touch to guide you through the next steps.
Book a free consultation call or contact our team. We’re happy to talk through whether the program is right for you.
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