Artificial Intelligence for Cybersecurity Training Course
Artificial Intelligence (AI) is revolutionizing the field of computer security through automation, predictive analysis, and intelligent response mechanisms.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level cybersecurity professionals and technical leads who wish to understand how to implement AI models to enhance security processes, automate threat detection and response, and perform predictive analysis.
By the end of this training, participants will be able to:
- Understand the role of AI in modern cyber security.
- Develop machine learning models for anomaly and threat detection.
- Implement AI for automating incident response and security operations.
- Evaluate the ethical and operational considerations of AI in cybersecurity.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction to AI in Cybersecurity
- Current landscape of cyber threats
- AI use cases in cybersecurity
- Overview of machine learning and deep learning techniques
Data Collection and Preprocessing
- Sources of security data: logs, alerts, and network traffic
- Data labeling and normalization
- Handling imbalanced datasets
Threat Detection and Anomaly Identification
- Supervised vs. unsupervised learning
- Building classification models for intrusion detection
- Clustering techniques for anomaly detection
Security Process Automation with AI
- AI for automating threat intelligence analysis
- Security Orchestration, Automation, and Response (SOAR) platforms
- Case study: Automating phishing detection and response
Predictive Analytics for Cybersecurity
- Forecasting attack trends using time-series models
- Using natural language processing (NLP) on threat reports
- Building a threat prediction pipeline
Incident Response with Intelligent Systems
- Building an AI-powered incident response framework
- Real-time response decision-making
- Integration with SIEM and threat intelligence platforms
AI Tools and Frameworks for Cybersecurity
- Open-source tools and libraries (e.g., Scikit-learn, TensorFlow, Keras)
- Platforms for security analytics and automation
- Deployment considerations
Ethical and Operational Considerations
- Bias and fairness in AI models
- Regulations and compliance
- Transparency and explainability
Final Project: AI-Powered Cybersecurity Solution
- Design and implement an AI-driven solution for a real-world cybersecurity problem
- Collaborative problem-solving and solution development
- Presentation and feedback
Summary and Next Steps
Requirements
- An understanding of basic cybersecurity concepts
- Experience with programming or scripting (e.g., Python)
- Familiarity with machine learning fundamentals
Audience
- Cybersecurity analysts and engineers
- AI and data science professionals interested in cybersecurity applications
- Security architects and IT managers
Open Training Courses require 5+ participants.
Artificial Intelligence for Cybersecurity Training Course - Booking
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Testimonials (5)
I learned a lot and gained knowledge can use at my work!
Artur - Akademia Lomzynska
Course - Active Directory for Admins
General course information
Paulo Gouveia - EID
Course - C/C++ Secure Coding
It opens up a lot and gives lots of insight what security
Nolbabalo Tshotsho - Vodacom SA
Course - Advanced Java Security
I was benefit from the exercises (SQL injection, XSS, CRSF. .).
David Lemoine - Statistical Solutions
Course - .NET, C# and ASP.NET Security Development
I genuinely enjoyed the great information and content.
Dennis Barela
Course - OpenLDAP Workshop
Provisional Upcoming Courses (Require 5+ participants)
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