AI for Cyber Security
Course Outlines
Foundations of AI for Everyone
Description: “AI for Everyone” is a concise, two-hour course designed to demystify the concepts of artificial intelligence and demonstrate its applications in everyday life. This course covers the basics of how AI works, explores real-world examples of AI in action, and introduces prompt engineering, enabling participants to understand and begin utilizing AI tools effectively. Ideal for learners of all backgrounds, this course provides the stepping stones to harness the potential of AI technology personally and professionally.
Duration (in hours): 2
Table for Course Outline:
| Module Name | Duration (in min) | Module Description |
|---|---|---|
| Introduction to AI | 15 | Overview of AI fundamentals, including what AI is, its history, and its importance in the modern world. |
| AI in Daily Life | 15 | Explore practical applications of AI in various sectors such as healthcare, finance, and entertainment. |
| Understanding Data | 15 | Introduction to the role of data in AI, how it is used, and the basics of data privacy and ethics. |
| AI Technologies | 15 | Brief overview of key AI technologies like machine learning, natural language processing, and robotics. |
| Prompt Engineering | 30 | Detailed exploration of prompt engineering, how to craft effective prompts, and their uses in AI tools. |
| Getting Started with AI | 30 | Hands-on guidance on how to use simple AI tools and platforms to benefit your daily tasks. |
Foundations in AI for Cyber Security Department
Description: Provides an introductory overview of how AI can be utilized specifically within security departments, including examples of current applications.
Duration (in hours): 2
Course Outline:
| Module Name | Duration (min) | Module Description |
|---|---|---|
| AI in Threat Detection | 24 | Examining AI-powered systems used for real-time threat detection and response. |
| AI for Network Security | 24 | How AI helps in monitoring and protecting corporate networks from intrusions. |
| AI in Risk Assessment | 24 | Utilizing AI to assess and mitigate potential security risks before they manifest. |
| AI-Powered Authentication Systems | 24 | Implementing AI in biometric and behavior-based authentication systems. |
| AI and Data Privacy | 24 | Exploring the role of AI in ensuring data privacy and compliance with regulations. |
AI applications in Cyber Security
- Automated Threat Detection and Response
- Phishing Detection and Prevention
- User Behavior Analytics (UBA)
- Malware Analysis and Classification
- Security Information and Event Management (SIEM)
Job Role Specific Courses
Specialized training tailored for specific roles in the cybersecurity domain.| Job Role | Duration (in hours) | Course Name | Learning Outcome |
|---|---|---|---|
| Cybersecurity Manager | 2 | AI in Cybersecurity Management | Equip managers with AI tools to oversee and enhance cybersecurity operations effectively. |
| Cybersecurity Analyst | 2 | AI for Cybersecurity Analysis | Mastering AI applications in cybersecurity for threat detection, analysis, and mitigation. |
| Penetration Tester | 2 | AI in Penetration Testing | Learn how to leverage AI tools for advanced penetration testing to identify and exploit system vulnerabilities effectively. |
| Digital Forensic Specialist | 2 | AI in Digital Forensics | Utilize AI to enhance the processes of data recovery, analysis, and forensic investigation. |
| CSO (Chief Security Officer) | 4 | AI Strategy for Security Leadership | Strategic integration of AI into security practices for top-level decision-making and policy development. |
Job Role specific Courses
AI in Cybersecurity Management
Learning Outcomes: Equip managers with AI tools to oversee and enhance cybersecurity operations effectively.
Duration (in hours): 2
Table for Course Outline:
| Module Name | Duration (in min) | Module Description | Specific AI Tools Related to the Module |
|---|---|---|---|
| AI for Security Automation | 20 | Integrating AI to automate cybersecurity tasks, reducing human error. | Darktrace (Paid) |
| AI in Incident Response | 20 | Using AI to enhance response times and decision-making during security incidents. | IBM QRadar (Paid) |
| AI for Compliance Management | 20 | Applying AI to maintain and monitor compliance with cybersecurity policies and regulations. | Compliance.ai (Paid) |
| Hands-on | 60 | Practical application of AI technologies in managing cybersecurity operations. | Custom Agent Building |
Tool Explanation:
- Darktrace: An AI-driven network security solution that detects and autonomously responds to cyber threats in real time.
Darktrace | Cyber security that learns you (Paid) - IBM QRadar: Security information and event management (SIEM) tool that uses AI to help identify security incidents.
IBM Security QRadar SIEM (Paid) - Compliance.ai: Specializes in regulatory compliance management using AI to track changes in regulations and ensure compliance.
Financial and Regulatory Compliance Software (Paid)
AI for Cybersecurity Analysis
Learning Outcomes: Mastering AI applications in cybersecurity for threat detection, analysis, and mitigation.
Duration (in hours): 2
Course Outline:
| Module Name | Duration (in min) | Module Description | Specific AI Tools Related to the Module |
|---|---|---|---|
| AI in Vulnerability Assessment | 20 | Using AI to identify and prioritize vulnerabilities in a network. | Tenable.io (Paid) |
| AI for Anomaly Detection | 20 | Leveraging AI to detect unusual patterns that may indicate a security threat. | Vectra (Paid) |
| AI in Threat Intelligence | 20 | Enhancing threat intelligence with AI to predict and prevent potential cyber attacks. | CrowdStrike Falcon (Paid) |
| Hands-on | 60 | Developing skills in using AI tools for cybersecurity analysis and threat detection. | Custom Agent Building |
Tool Explanation:
- Tenable.io: Provides comprehensive vulnerability management with the help of AI to assess and manage network vulnerabilities.
- Vectra: AI-driven solution that detects and responds to cyberattacks in real time.
- CrowdStrike Falcon: Utilizes AI to offer advanced threat intelligence, endpoint protection, and incident response.
The CrowdStrike Falcon® platform (Paid)
Endpoint, Cloud & Identity Protection Products | CrowdStrike
AI in Penetration Testing
Learning Outcomes: Learn how to leverage AI tools for advanced penetration testing to identify and exploit system vulnerabilities effectively.
Duration (in hours): 2
Table for Course Outline:
| Module Name | Duration (in min) | Module Description | Specific AI Tools Related to the Module |
|---|---|---|---|
| AI for Automated Penetration Testing | 20 | Using AI to automate the process of finding vulnerabilities in systems and networks. | Metasploit Pro (Paid) |
| AI in Security Simulation | 20 | Leveraging AI to simulate cyber attacks to test system resilience. | AttackIQ (Paid) |
| AI for Custom Exploit Development | 20 | AI tools to assist in creating custom exploits based on discovered vulnerabilities. | Cobalt Strike (Paid) |
| Hands-on | 60 | Developing practical skills in using AI for penetration testing and security assessment. | Custom Agent Building |
Tool Explanation:
- Metasploit Pro: An advanced tool that allows penetration testers to automate and streamline the process of testing security systems.
Metasploit | Penetration Testing Software, Pen Testing Security | Metasploit (Free and Paid)
- AttackIQ: Provides a platform for continuous security testing using AI to simulate real-world attacks.
Breach and Attack Simulation with MITRE ATT&CK – AttackIQ (Paid)
- Cobalt Strike: A tool designed for threat emulation and red team operations, enhanced with AI capabilities to develop more sophisticated attack strategies.
Cobalt Strike | Adversary Simulation and Red Team Operations
Starting at $3540 per user for one year license
AI in Digital Forensics
Learning Outcomes: Utilize AI to enhance the processes of data recovery, analysis, and forensic investigation.
Duration (in hours): 2
Table for Course Outline:
| Module Name | Duration (in min) | Module Description | Specific AI Tools Related to the Module |
|---|---|---|---|
| AI for Data Recovery | 20 | How AI improves the accuracy and efficiency of recovering deleted or corrupted data. | Oxygen Forensics (Paid) |
| AI in Pattern Recognition | 20 | Using AI to identify patterns and anomalies in large datasets during investigations. | Nuix (Paid) |
| AI for Case Analysis | 20 | Applying AI to automate aspects of digital forensic case analysis. | EnCase Forensic (Paid) |
| Hands-on | 60 | Hands-on application of AI in digital forensic tools and techniques. | Custom Agent Building |
Tool Explanation:
- Oxygen Forensics: Specializes in data recovery with AI-enhanced capabilities to retrieve data from various digital devices.
- Nuix: An advanced forensic tool that uses AI for processing and analyzing large amounts of data to uncover critical insights.
Leading Provider of Investigative & Analytics Software | Nuix (Paid)
- EnCase Forensic: Provides comprehensive forensic analysis, utilizing AI to streamline the investigation process.
AI Strategy for Security Leadership
Learning Outcomes: Strategic integration of AI into security practices for top-level decision-making and policy development.
Duration (in hours): 4
Course Outline:
| Module Name | Duration (in min) | Module Description | Specific AI Tools Related to the Module |
|---|---|---|---|
| AI Leadership in Security | 20 | Understanding the role of AI in shaping security strategies at the highest levels. | None specific |
| AI for Organizational Risk Management | 20 | Leveraging AI to oversee and enhance organizational risk management frameworks. | RiskLens (Paid) |
| AI in Security Policy Development | 20 | Using AI to aid in the development and implementation of security policies. | RSA Archer (Paid) |
| Hands-on | 60 | Leading AI integration projects across security teams and company-wide initiatives. | Custom Agent Building (Free to use) |
Tool Explanation:
-
RiskLens: An AI-assisted tool that quantifies cybersecurity risk in financial terms, helping CSOs make informed decisions.
-
RSA Archer: Provides governance, risk, and compliance solutions, using AI to enhance the visibility and management of corporate security risks.
Case Studies
95%
Cyber threat detection rate in the finance sector
$46B
Projected market size for AI in cybersecurity by 2025
35%
Annual security cost savings projected
96%
Reduction in investigation time
64%
Reduction in detection and response time
40%
Reduction in false positives