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AI Security: Protecting Machine Learning Systems

Course IMCS-035

AI Security: Protecting Machine Learning Systems

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Classroom

16 sessions
2 - 6 November 2026 €3,225 + VAT Register
9 - 13 November 2026 €2,815 + VAT Register
14 - 18 December 2026 €3,825 + VAT Register
21 - 25 December 2026 €2,815 + VAT Register
18 - 22 January 2027 €2,315 + VAT Register
15 - 19 February 2027 €1,875 + VAT Register
15 - 19 March 2027 €4,315 + VAT Register
19 - 23 April 2027 €1,978 + VAT Register
17 - 21 May 2027 €3,225 + VAT Register
21 - 25 June 2027 €2,815 + VAT Register
19 - 23 July 2027 €1,625 + VAT Register
16 - 20 August 2027 €4,315 + VAT Register
20 - 24 September 2027 €3,460 + VAT Register
18 - 22 October 2027 €1,625 + VAT Register
15 - 19 November 2027 €1,845 + VAT Register
20 - 24 December 2027 €2,315 + VAT Register
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Online / Live

16 sessions
2 - 6 November 2026 €1,815 + VAT Register
9 - 13 November 2026 €1,815 + VAT Register
14 - 18 December 2026 €1,815 + VAT Register
21 - 25 December 2026 €1,815 + VAT Register
18 - 22 January 2027 €1,815 + VAT Register
15 - 19 February 2027 €1,815 + VAT Register
15 - 19 March 2027 €1,815 + VAT Register
19 - 23 April 2027 €1,815 + VAT Register
17 - 21 May 2027 €1,815 + VAT Register
21 - 25 June 2027 €1,815 + VAT Register
19 - 23 July 2027 €1,815 + VAT Register
16 - 20 August 2027 €1,815 + VAT Register
20 - 24 September 2027 €1,815 + VAT Register
18 - 22 October 2027 €1,815 + VAT Register
15 - 19 November 2027 €1,815 + VAT Register
20 - 24 December 2027 €1,815 + VAT Register
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Introduction

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.

View full course outline

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

  1. AI system architecture
  2. Attack surfaces
  3. AI threat landscape
  4. Frameworks
  5. Coffee break
  6. Frameworks (continued)
  7. Regulation
  8. Exercise: AI inventory

Day 2

Attacks on Machine Learning

  1. Data poisoning
  2. Evasion attacks
  3. Model theft
  4. Privacy attacks
  5. Coffee break
  6. Privacy attacks (continued)
  7. Defences
  8. Demonstration: Adversarial example

Day 3

Securing LLM Applications

  1. Prompt injection
  2. Data leakage
  3. Output handling
  4. Guardrails
  5. Coffee break
  6. Guardrails (continued)
  7. Access control
  8. Workshop: LLM threat model

Day 4

Supply Chain and Operations

  1. Model and data provenance
  2. Third-party models
  3. Monitoring
  4. Incident response
  5. Coffee break
  6. Incident response (continued)
  7. Testing
  8. Case study: AI security incident

Day 5

Governance

  1. AI security policies
  2. Risk assessment
  3. Roles
  4. Coffee break
  5. Roles (continued)
  6. Metrics
  7. Roadmap
  8. 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).