AI050: AI Security Specialist

Agenda:

• Module 1: AI as Risk for Cybersecurity
  • Terms in the field of cyberattacks
  • Attack methods with IT support
  • Current threat landscape through cyberattacks
  • Cyberattack methods with AI support
  • Practical examples for successful cyberattacks with AI
  • Technical implementations of attack systems with AI
  • Overview of threat development through AI
  • Risks for cybersecurity through AI deployment
  • Discussion and Q&A

 

• Module 2: AI as Opportunity for Cybersecurity
  • Defense methods with AI support
  • Practical examples for averted cyberattacks through AI
  • Technical implementations of defense systems with AI
  • Overview of defense capability development through AI
  • Opportunities for cybersecurity through AI deployment
  • Discussion and Q&A

 

• Module 3: Technical Attack Detection with AI
  • Presentation of known cyberattack patterns
  • Deep dive into technical processes
  • Methods for efficient design of AI training data
  • Laboratory conditions vs. reality
  • Practical use case based on case study
  • Presentation Security Intelligence Modeling
  • Documentation of AI security solutions in practice
  • Final discussion and Q&A

 

• Module 4: Design of Trustworthy AI
  • Fundamental concepts and methodology of the audit catalog
  • AI profile
  • Dimension: Fairness
  • Dimension: Autonomy and control
  • Dimension: Transparency
  • Dimension: Reliability
  • Dimension: Security
  • Dimension: Data protection
  • Cross-dimensional assessment of trustworthiness
  • Final discussion and Q&A

 

• Certificate examination

Objectives:

• Learn and understand cyber security terminology
• Learn and understand the role of AI in cyber attacks
• Learn theoretically possible cyber attack methods with AI
• Learn practical examples of cyber attacks with AI
• Understand and comprehend risks of AI-supported cyber attacks
• Learn and understand the opportunities of AI for cyber attack defense
• Learn theoretically possible defense methods with AI
• Learn practical examples of defense with AI
• Learn and comprehend strategic implementation recommendations
• Identify attack patterns on technical level
• Specifically select, develop and appropriately document AI security solutions
• Be able to perform risk analyses for AI applications
• Learn and be able to apply KPIs for AI applications
• Understand in depth criteria for trustworthy AI applications and be able to apply them purposefully in custom developments

Furthermore, the course forms a good foundation for additional advanced courses, e.g.:
AI100 AI Officer
AI135 AI Auditor
AI060 AI GRC Specialist

Target audience:

• CISOs
• Subject matter experts
• IT professionals
• Developers

Prerequisites:

• AI020 AI Implementation Basics or equivalent prerequisites

Description:

The certification course AI050 AI Security Specialist trains you to become an AI expert for cybersecurity.

Learn how AI is already being deployed in cyberattacks and what threats may emerge from this. You will receive a current overview of attack methods and technical systems that are possible with AI support. Furthermore, concrete practical examples of successful cyberattacks where AI was deployed will be presented to you. The course builds an understanding of developments in the present and foreseeable future, through which participants can overview and comprehend what risks exist today and tomorrow through AI for cybersecurity.

Learn equally how AI can conversely help you to defend against and prevent cyberattacks: From strategic considerations through implementation proposals in enterprises to concrete deployment scenarios. Learn techniques that are specifically developed and used for the protection of IT systems. Besides hardware solutions, software solutions are also in focus. Additionally, current and future possible developments of security solutions with AI deployment are presented. After completion of the course, you have the necessary knowledge to make decisions for your individual security requirements.

You receive a detailed insight into the technical process of cyberattacks with and without AI deployment and can thus comprehend what measures are possible with the help of AI to protect against them. For a structured approach in the implementation of security solutions against this type of attacks, participants are given guidance with which they can work specifically in practice. Through this, foundations for the development of such systems shall be conveyed on one hand and possibilities of documentation shall be shown on the other hand.

Learn how you can develop and verify AI applications trustworthily using a verification catalog. This also enables you to develop AI applications that consider these criteria and thus meet the requirements for trustworthiness. The main focus lies on AI applications that are based on Machine Learning.

Exam:

The certification exam is computer-based and conducted by the independent certification institute Certible as an online "remote-proctored" exam.
For the 90-minute exam, candidates can freely choose the exam dates and take the exam at a time that is most convenient for them.