Courses Finder :
AI Cybersecurity: Attack and Defend
course
IT Management and Cyber Security
Course Overview
As artificial intelligence (AI) becomes increasingly integrated into digital systems, the cybersecurity landscape evolves with it. AI technologies introduce both new opportunities and unique vulnerabilities, making it essential for professionals to understand how AI systems can be exploited and how to defend them.
This AI Cybersecurity: Attack and Defend training course equips participants with the knowledge and practical skills needed to identify, simulate, and mitigate AI-driven cyber threats, covering areas such as adversarial attacks, AI system vulnerabilities, threat modeling, and defensive strategies. Through hands-on labs and real-world scenarios, participants will develop the expertise to safeguard AI-enabled systems in dynamic environments.
Course Objectives
By the end of this training course, participants will be able to:
Understand AI architectures, models, and potential security risks
Identify and simulate adversarial attacks against AI systems
Analyze vulnerabilities in AI-enabled applications and networks
Design and implement defensive AI strategies to mitigate attacks
Apply AI-based cybersecurity tools for threat detection and response
Evaluate and improve organizational AI security policies
Conduct practical incident response exercises for AI security breaches
Course Audience
This course is ideal for professionals responsible for AI system security, IT infrastructure, and organizational cybersecurity, including:
Cybersecurity analysts and engineers
AI/ML developers and data scientists
IT security managers and risk officers
Incident response teams
Network and system administrators
Compliance and governance specialists
Course Methodology
The course combines:
Instructor-led lectures and conceptual explanations
Interactive discussions on emerging threats and mitigation strategies
Hands-on labs simulating AI attacks and defensive techniques
Case studies on real-world AI cybersecurity incidents
Scenario-based group exercises to reinforce defensive planning and incident response
Course Outline
Day 1 – Fundamentals of AI and Cybersecurity
Overview of AI systems, machine learning, and neural networks
Understanding AI vulnerabilities and threat surfaces
Introduction to cybersecurity principles for AI
Case studies of AI-related cyber incidents
Day 2 – Adversarial Attacks on AI Systems
Types of adversarial attacks: evasion, poisoning, and model inversion
Techniques to simulate AI system attacks
AI threat modeling and risk assessment
Hands-on lab: launching controlled adversarial attacks
Day 3 – AI Security and Defensive Strategies
Defensive AI models and anomaly detection
Implementing robust AI pipelines
Adversarial training and model hardening techniques
Hands-on lab: defending AI systems against attacks
Day 4 – Monitoring, Detection, and Incident Response
AI-enabled cybersecurity monitoring tools
Detection of malicious AI activity and anomaly response
Incident response frameworks for AI security breaches
Workshop: simulated AI cybersecurity incidents and response
Day 5 – AI Governance, Compliance, and Emerging Threats
Regulatory and compliance considerations for AI systems
Ethical and legal aspects of AI security
Emerging AI threats and trends
Capstone exercise: end-to-end attack and defend simulation
Course review and certification of completion
Certificates
On successful completion of this training course, HighPoint Certificate will be awarded to the delegates. Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance.