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Exploring the OWASP Top Ten for AI
Description
Exploring the OWASP Top Ten for AI Course Introduction
Welcome to “Exploring the OWASP Top Ten for AI,” a dynamic two-day course led by experts, specifically designed for software developers, IT professionals, and cybersecurity enthusiasts.
This program takes a deep dive into how artificial intelligence (AI) intersects with cybersecurity, emphasizing ethical considerations and the top ten security risks identified by OWASP.
Participants in this course will engage in hands-on activities to apply AI in detecting and mitigating common cybersecurity threats such as Injection and Broken Authentication.
Moreover, through a combination of engaging discussions, interactive activities, and comprehensive case studies, you will learn to apply sophisticated AI algorithms to effectively address the most prevalent OWASP risks.
Exploring the OWASP Top Ten for AI Objectives
- In-depth Exploration: Dive into the complexities of OWASP risks and explore how AI helps mitigate these vulnerabilities.
- Practical Skills Development: Develop real-world skills by applying AI algorithms to tackle security challenges.
- AI Model Design and Implementation: Gain expertise in crafting effective AI models specifically for cybersecurity applications.
- Comprehensive Understanding: Acquire a thorough understanding of how to validate and test AI models within the context of cybersecurity, enhancing your ability to implement these technologies effectively.
Prerequisites
- A basic understanding of web applications and core cybersecurity concepts.
- Familiarity with the OWASP Top Ten vulnerabilities.
- An introductory knowledge of AI principles, helpful but not essential for grasping course content.
Audience
This course is designed for a diverse range of professionals seeking to enhance their cybersecurity expertise, including:
- Cybersecurity analysts, IT security specialists, and information security officers looking to deepen their knowledge.
- IT auditors, compliance managers, CISOs, ethical hackers, network security engineers, and data protection officers eager to enhance their cybersecurity skills.
- Threat intelligence analysts, vulnerability assessors, software developers, and project managers interested in AI’s role in cybersecurity.
Exploring the OWASP Top Ten for AI Course Outline
Introduction to AI, OWASP Top Ten, and AI Ethics
- Understand the intersection of AI, cybersecurity, and ethical considerations.
- Introduction to OWASP and the top ten security risks for web applications.
- Overview of AI and its applications in mitigating OWASP risks.
- Discussion on AI Ethics, including privacy concerns and biases in AI models.
- Exploring how AI can help mitigate these risks while ensuring ethical use.
Exploring the OWASP Top Ten for AI for Injection and Broken Authentication Mitigation
- Learn how AI helps detect and mitigate Injection and Broken Authentication.
- Discussion on the nature of Injection and Broken Authentication attacks and their prevalence in OWASP.
- How AI can help in detecting these vulnerabilities in real time.
- Designing an AI model for mitigating these security risks.
- Demo: Train a basic AI model to detect potential Injection and Broken Authentication attacks.
Deep Dive into AI Algorithms and their application in mitigating OWASP Risks
- Comprehend the working mechanisms of key AI algorithms.
- Detailed analysis of AI algorithms used in mitigating OWASP security risks.
- Hands-on experience in choosing the right algorithm for a specific problem.
- Guided tutorial on customizing algorithms for different OWASP vulnerabilities.
- Demo: Selection and customization of AI algorithms for detecting Sensitive Data Exposure.
XML External Entity (XXE) and Security Misconfiguration Mitigation
- Gain skills to utilize AI for detecting and mitigating XXE and Security Misconfigurations.
- Introduction to XXE and Security Misconfigurations as significant OWASP risks.
- How AI can assist in real-time detection of these vulnerabilities.
- Designing an AI model for mitigating these OWASP threats.
- Demo: Train a basic AI model to detect potential XXE attacks and Security Misconfigurations.
Exploring the OWASP Top Ten for AI for Cross-Site Scripting (XSS) and Insecure Deserialization Mitigation
- Gain skills to utilize AI for detecting and mitigating XSS and Insecure Deserialization.
- Introduction to XSS and Insecure Deserialization as significant OWASP risks.
- How AI can assist in real-time detection of these vulnerabilities.
- Designing an AI model for mitigating these OWASP threats.
- Demo: Train a basic AI model to detect potential attacks.
AI for Insufficient Logging & Monitoring and Using Components with Known Vulnerabilities
- Gain skills to utilize AI for detecting and mitigating Insufficient Logging & Monitoring and using components with known vulnerabilities.
- Introduction to these threats as significant OWASP risks.
- How AI can assist in real-time detection of these vulnerabilities.
- Designing an AI model for mitigating these OWASP threats.
- Demo: Train a basic AI model to detect potential risks associated with insufficient logging and known vulnerabilities.
Model Validation, Testing, and Limitations
- Comprehend the importance of validation and testing in AI models.
- Learn methods for testing, validating, and fine-tuning AI models.
- Understanding the limitations of AI in the context of mitigating OWASP risks.
- Demo: Validate and test a basic AI model for detecting OWASP risks.
Future of AI in Mitigating OWASP Threats
- Explore the future trends of AI in the context of cybersecurity and OWASP.
- Discuss research and future applications of AI in cybersecurity.
- Address advancements like adversarial AI, AI-powered intrusion detection systems, etc.
$1895.00
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2 Days Course |