AI-Powered Cybersecurity: Threat Detection & Response Training Course
AI-Powered Cybersecurity combines artificial intelligence with cybersecurity to enhance threat detection, response, and prevention. This course explores AI techniques in identifying and mitigating cyber threats, equipping participants with hands-on skills in implementing AI-driven security measures.
This instructor-led, live training (online or onsite) is aimed at beginner-level cybersecurity professionals who wish to learn how to leverage AI for improved threat detection and response capabilities.
By the end of this training, participants will be able to:
- Understand AI applications in cybersecurity.
- Implement AI algorithms for threat detection.
- Automate incident response with AI tools.
- Integrate AI into existing cybersecurity infrastructure.
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
- Overview of AI in threat detection
- AI vs. traditional cybersecurity methods
- Current trends in AI-powered cybersecurity
Machine Learning for Threat Detection
- Supervised and unsupervised learning techniques
- Building predictive models for anomaly detection
- Data preprocessing and feature extraction
Natural Language Processing (NLP) in Cybersecurity
- Using NLP for phishing detection and email analysis
- Text analysis for threat intelligence
- Case studies of NLP applications in cybersecurity
Automating Incident Response with AI
- AI-driven decision-making for incident response
- Building response automation workflows
- Integrating AI with SIEM tools for real-time action
Deep Learning for Advanced Threat Detection
- Neural networks for identifying complex threats
- Implementing deep learning models for malware analysis
- Using AI to combat advanced persistent threats (APTs)
Securing AI Models in Cybersecurity
- Understanding adversarial attacks on AI systems
- Defense strategies for AI-driven security tools
- Ensuring data privacy and model integrity
Integration of AI with Cybersecurity Tools
- Integrating AI into existing cybersecurity frameworks
- AI-based threat intelligence and monitoring
- Optimizing performance of AI-powered tools
Summary and Next Steps
Requirements
- Basic understanding of cybersecurity principles
- Experience with AI and machine learning concepts
- Familiarity with network and system security
Audience
- Cybersecurity professionals
- IT security analysts
- Network administrators
Open Training Courses require 5+ participants.
AI-Powered Cybersecurity: Threat Detection & Response Training Course - Booking
AI-Powered Cybersecurity: Threat Detection & Response Training Course - Enquiry
Testimonials (3)
The trainer was very knowledgable and took time to give a very good insight into cyber security issues. A lot of these examples could be used or modified for our learners and create some very engaging lesson activities.
Jenna - Merthyr College
Course - Fundamentals of Corporate Cyber Warfare
Pentester skills what demonstrate teacher
Oleksii Adamovych - EY GLOBAL SERVICES (POLAND) SP Z O O
Course - Ethical Hacker
The instructor has a very wide range of knowledge and is committed to what he does. He is able to interest the listener with his course. The scope of the training fully met my expectations.
Karolina Pfajfer - EY GLOBAL SERVICES (POLAND) SP Z O O
Course - MasterClass Certified Ethical Hacker Program
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