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Course Outline
Introduction to Cybersecurity and LLMs
- Current landscape of cybersecurity threats
- Basics of Large Language Models
- Advantages of using LLMs in cybersecurity
LLMs for Threat Detection
- Using LLMs to analyze and interpret security logs
- Training LLMs for anomaly and pattern detection
- Case studies: LLMs in intrusion detection systems
LLMs for Security Automation
- Automating incident response with LLMs
- LLMs in phishing detection and email filtering
- Enhancing security protocols with AI
LLMs for Threat Intelligence
- Gathering and processing threat intelligence with LLMs
- LLMs for predictive threat modeling
- Sharing and disseminating intelligence with LLMs
Integrating LLMs into Security Operations
- Best practices for deploying LLMs in security operations centers
- Maintaining and updating LLMs for optimal performance
- Addressing privacy and ethical concerns
Hands-on Lab: Implementing LLMs in Cybersecurity
- Setting up a cybersecurity lab environment with LLMs
- Developing a threat detection model using LLMs
- Simulating attacks and testing model effectiveness
Summary and Next Steps
Requirements
- An understanding of cybersecurity fundamentals
- Experience with Python programming
- Familiarity with machine learning concepts
Audience
- Cybersecurity professionals
- Data scientists
- IT professionals interested in the latest AI-driven security technologies
14 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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