Courses Finder :
AI Cybersecurity: Attack and Defend
A course on AI-driven cybersecurity, teaching techniques to detect, prevent, and respond to cyberattacks using artificial intelligence.
course :
Cybersecurity Training Courses
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 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
Upon successful completion of this training program, participants will be formally awarded a HighPoint Certificate, recognizing their demonstrated knowledge and competencies in the subject matter. This certificate serves as an official testament to their proficiency and commitment to professional development
Training Schedule and Fees
Explore All Course Dates