Classroom
16 sessionsOnline / Live
16 sessionsIntroduction
Course overview
As organisations deploy AI and machine learning, attackers are targeting these systems through data poisoning, model theft, prompt injection and adversarial inputs. AI systems need specific security controls.
This Aractech course explains AI system architectures, AI-specific threats, securing training data and models, protecting large language model applications, AI supply chain risks, monitoring and incident response for AI, and governance frameworks. Participants threat-model an AI application.
The course suits security professionals and AI practitioners.
What you will achieve
Learning objectives
- Explain AI system components and attack surfaces
- Identify AI-specific threats
- Protect training data and models
- Secure large language model applications
- Manage AI supply chain risks
- Monitor and govern AI security
Who should attend
Target audience
- Security engineers and architects
- AI and data science teams
- IT risk managers
- Application developers
- CISOs
- Auditors
Methodology
Learning approach
- Technical presentations
- Threat modelling workshop
- Demonstrations
- Case studies
- Governance discussions
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
AI Systems and Risks
- AI system architecture
- Attack surfaces
- AI threat landscape
- Frameworks
- Coffee break
- Frameworks (continued)
- Regulation
- Exercise: AI inventory
Day 2
Attacks on Machine Learning
- Data poisoning
- Evasion attacks
- Model theft
- Privacy attacks
- Coffee break
- Privacy attacks (continued)
- Defences
- Demonstration: Adversarial example
Day 3
Securing LLM Applications
- Prompt injection
- Data leakage
- Output handling
- Guardrails
- Coffee break
- Guardrails (continued)
- Access control
- Workshop: LLM threat model
Day 4
Supply Chain and Operations
- Model and data provenance
- Third-party models
- Monitoring
- Incident response
- Coffee break
- Incident response (continued)
- Testing
- Case study: AI security incident
Day 5
Governance
- AI security policies
- Risk assessment
- Roles
- Coffee break
- Roles (continued)
- Metrics
- Roadmap
- Capstone: AI security plan
FAQ
Frequently asked questions
What does AI Security: Protecting Machine Learning Systems (IMCS-035) cover?
This course covers IT Management and Cyber Security through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 2 - 6 November 2026. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
Security engineers and architects, AI and data science teams, IT risk managers
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include Vienna, Barcelona, Paris, London, Frankfurt, Geneva, Istanbul, Cape Town, Rome, Dubai.
How long is the training programme?
The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).
Quick request
Send quick request
Send a fast enquiry about this course and the academy team will get back to you.
Get a quotation
Request a formal quotation
Choose an available date and venue, add your participants, and we will email a formal quotation for AI Security: Protecting Machine Learning Systems to your business address.
Global Learning for Operational Leaders