Artificial Intelligence and Security
Risks, Vulnerabilities, and Protection in the Age of Generative AI
Course Overview
Generative AI (GenAI) has reshaped the security landscape, blurring traditional boundaries between human and machine decision-making. Organizations now face unprecedented risks, from model manipulation and data leakage to sophisticated misinformation attacks. This course moves beyond the hype to provide a structured, applied understanding of these vulnerabilities. It is designed to equip professionals with the analytical tools to evaluate model behavior, detect misuse, and implement robust protection measures. You will learn to navigate the intersection of technology and ethics, ensuring your organization can adopt AI within a responsible and secured governance framework.
Who Should Attend?
- Public and private-sector professionals involved in policy and governance.
- Risk management and compliance officers seeking to mitigate AI vulnerabilities.
- Security professionals responsible for safeguarding institutional data.
Course Details
Instructor
Mode
Live Virtual Classroom OR In-Person
Days
4 Days
Course Code
SEC-RISK-AI
Learning Objectives
By the end of this course, participants will be able to:
- Build a complete pre-production package using Large Language Models (LLMs).
- Craft professional prompts that ensure visual consistency across scenes.
- Generate and animate characters with precision, including controlled motion and AI-generated lip-synced dialogue.
- Produce and assemble a polished short scene (30–45 seconds) ready for screening.
Course Content
Module 1: Foundations of AI & Generative Risks
1.1: Defining AI: From Narrow Logic to Generative Models.
1.2: The Nature of GenAI: Capabilities, Hallucinations, and Bias.
1.3: The Architecture of Risk: How Models Process and Store Data.
Activity: Case Study Analysis: Identifying bias and factual inaccuracies in AI outputs.
Module 2: Professional Prompt Engineering & Ethics
2.1: Anatomy of a Prompt: Context, Task, and Constraints.
2.2: Advanced Patterns: Chain-of-Thought and Role Prompting.
2.3: Ethical Verification: Human-in-the-loop and Citation Protocols.
Activity: Workshop: Drafting and refining prompts for professional tasks under time constraints.
Module 3: The Threat Landscape & Defensive Mechanisms
3.1: Critical Vulnerabilities: Injection, Poisoning, and Inversion Attacks.
3.2: Application Security: Implementing the OWASP Top 10 for LLMs.
3.3: Data Privacy: Anonymization and Retention Policies.
Activity: Group Exercise: Mapping potential AI threats within your specific workplace.
Module 4: Operational Security & Governance
4.1: AI for Defense: Vulnerability Scanning and Phishing Detection.
4.2: Institutional Governance: Building Compliance Frameworks.
Assessment: Final Capstone: Design a 90-day AI Security Enhancement Plan for your organization
What’s Included
4.5 Hours of On-Demand Video Lessons
3 Downloadable Written Guides
Interactive Quizzes & Assignments
5 Practice Datasets and AI Prompts
Certificate of Completion
Prerequisites
- Basic familiarity with Generative AI tools (e.g., ChatGPT, Gemini, Claude).
Launch Yourself Into The Future.
