AI Security Foundation (S-AISF)

This course provides an introduction to AI in cybersecurity, covering core principles, security risks, and mitigation strategies to help participants protect systems from potential threats.

This foundational course introduces the role of artificial intelligence (AI) in cybersecurity and provides a comprehensive overview of AI security fundamentals, equipping participants with the knowledge and skills to protect systems from potential threats. You will explore the core principles of AI, delve into security risks, and examine mitigation strategies.

In the first part of the course, you will learn about the risks and opportunities of AI for security. You will explore the diverse facets of AI, from Deep Learning and Natural Language Processing, to Generative ML. The pressing issues of AI security, including data poisoning, adversarial attacks, and privacy concerns, will also be addressed.

In the second part of the course, the focus will be on the technical measures; on how AI can be a game-changer for IT security, offering innovative solutions for detecting, preventing, and responding to security incidents.

By the end of this course, you will be well-prepared to ensure the safe and responsible operation of AI within your organisation.

Exam and Certification:

After this course, you will have the opportunity to demonstrate your knowledge through an online exam supervised by SECO-Institute. Successful candidates are awarded the prestigious S-AISF certification from SECO-Institute.

Benefits of Certification:

Demonstrable knowledge will significantly enhance your value as a professional for your organisation. Additionally, this certification by SECO-Institute ensures improved career prospects for you.

Delivery methods:

  • Tutored online/ virtual training
  • Classroom training

Objectives

By the end of this course, participants will be able to:

  • Understand the core concepts, types, and approaches of Artificial Intelligence
  • Identify and analyse how AI can be exploited in cybersecurity, including AI-powered intrusions, threat vectors, risk and threat analysis, and penetration testing of AI systems
  • Gain a broad knowledge of design, implementation, and evaluation of AI-driven cybersecurity defences, including AI-powered threat detection, SIEM, data lakes, and endpoint detection and response systems.

Pre-requisites

Basic knowledge of IT security (equivalent to S-ITSF) is recommended.

Audience

This course is suitable for: 

  • Professionals and organisations implementing AI
  • IT and security professionals, IT administrators, cybersecurity experts, and security analysts who want to enhance their knowledge of AI security
  • Managers and executives, decision-makers and organisational leaders responsible for overseeing AI initiatives and cybersecurity
  • Professionals interested in AI security: Individuals seeking a thorough understanding of the principles and best practices of AI security

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