AI Security Foundation Course
Understanding and empowering protection with the use of Artificial intelligence.
The “AI Security Foundation” course provides comprehensive coverage of AI security fundamentals, aimed at cybersecurity professionals. It encompasses critical areas such as AI principles, security risks, including data poisoning and privacy concerns, and effective mitigation strategies. The course delves into the synergistic relationship between AI and IT security, offering innovative solutions for detecting, preventing, and responding to security incidents. Participants are expected to have prior knowledge of information security and be familiar with common IT terminology.
The ultimate objective is to equip cybersecurity professionals with the knowledge and skills needed to secure their systems more effectively.
Bas van den Berg
CTO at Skopos.AI
Network & Infrastructure consultant
Rob van Os
Creator of the SOC Maturity Model
At a Glance
AI Security Foundation (S-AISF)
This course suits IT professionals, managers, and anyone keen on AI security. It enhances IT experts’ knowledge, aids managers overseeing AI projects, and benefits anyone seeking AI security insights.
In the “AI Security Foundation” course, you’ll learn to secure AI systems, addressing risks and using AI to enhance cybersecurity. Participants need prior knowledge of IT security.
Understand how to use AI, and gain insights in the topics covered
Identify and address pressing AI security challenges, such as data poisoning, adversarial attacks, and privacy concerns, to safeguard your organization’s AI systems.
Explore how AI can be a game-changer for IT-Security, learning how to leverage AI for threat detection, user behavior analytics, and endpoint and network security.
Differentiate between traditional security approaches and AI-powered solutions, equipping you to proactively respond to unusual activity patterns and mitigate threats effectively.
Develop the knowledge and skills to ensure the safe and responsible operation of AI within your organization, preparing you to navigate the dynamic landscape of AI security with confidence.
- Official SECO-Institute course materials
- Passionate instructors with exceptional skills and experience
- Access to SECO Institute’s member portal
- Practice exam
- Exam voucher
- Membership to SECO’s Alumni Network after passing the exam
AI Security Foundation Course Modules
- What is Artificial Intelligence?
- Types of AI: Deep Learning, Natural Language Processing, Generative ML
- Real-world AI Applications
- Introduction to AI Security
- Risks and Threats Posed by AI
- Importance of AI Security in Modern Organizations
- Review of common AI threat vectors such as data poisoning, adversarial attacks, privacy breaches, and bias.
- Recognizing the potential impact of AI threats on your organization.
- Identifying the attack surface of AI systems within your organization.
- Differentiating between traditional security approaches and AI-powered solutions.
- AI for User and Entity Behavior Analytics (UEBA)
- Using AI algorithms to create baseline behavior profiles for users and entities.
- Detecting abnormal behavior and potential insider threats.
- Responding proactively to unusual activity patterns.
- AI-Enhanced Endpoint Security
- Harnessing AI to identify and respond to endpoint threats.
- Reducing false positives through AI-driven analysis.
- Enhancing endpoint protection against malware, ransomware, and zero-day attacks.
- AI-Driven Network Security
- Applying AI to network monitoring and intrusion detection.
- Rapid threat identification and containment through AI analytics.
- Utilizing AI for adaptive access control and network segmentation.
- AI for Phishing Detection and Email Security
- Using AI to detect and block phishing attacks in emails.
- Real-time analysis of email attachments and links for security threats.
- Reducing the risk of email-based security breaches.
- AI in Security Information and Event Management (SIEM)
- Integrating AI into SIEM platforms for improved log analysis and correlation.
- Automating threat detection and alert prioritization.
- Leveraging AI for historical threat analysis and forensics.
- Conclude with a practice exam