Course Overview
- Course Title: Artificial Intelligence Risks in Cybersecurity
- Instructor: Syed Muhammad Hatim Javaid
- Target Audience:
- Cybersecurity professionals
- IT managers and compliance officers
- Legal and ethical consultants in emerging tech
- Students interested in AI risk management
- Decision-makers overseeing AI integration
- Prerequisites:
- Basic understanding of computer systems and the internet
- Foundational interest in cybersecurity and emerging technologies
- Familiarity with general IT or business terminology
- No advanced programming skills or prior AI development experience required
Curriculum Highlights
- Key Topics Covered:
- AI governance and risk management frameworks (e.g., NIST)
- Securing Large Language Models (LLMs) against threats
- Prompt injections, hallucinations, and SSRF vulnerabilities
- Ethical risks: model bias, data privacy, and AI copyright issues
- AI-powered cyber threats: data poisoning, DDoS attacks, and data leakage
- Legal implications of automated decision-making
- AI Governance Checklist for auditing and securing AI systems
- Key Skills Learned:
- Identifying and mitigating AI-related cybersecurity risks
- Implementing NIST and other industry-standard frameworks
- Securing generative AI systems against specific vulnerabilities
- Assessing ethical and legal risks in AI deployment
- Developing defensive strategies against AI-powered threat actors
- Applying practical tools for AI security and compliance
Course Format
- Duration:
- 4 hours of on-demand video
- N/A (number of lectures not specified)
- Format: Self-paced online course
- Resources:
- Access on mobile and TV
- Certificate of completion
- N/A (no additional downloadable materials or quizzes mentioned)