AI Security Basics – Free 30-Minute Course

Who is this for?

Professionals, teams, and leaders who want a quick primer on AI security: what makes it different, why it matters, and where to go next.

Course Outline

Module 1 – Welcome & Orientation

• Quick Introduction – Get oriented with the course structure and what you'll learn in the next 30 minutes.
• Why AI Security Basics – Understand the critical importance of securing AI systems in today's rapidly evolving threat landscape.

Module 2 – Foundations of AI Security

• What Makes AI Security Different from Traditional Security – Explore the unique vulnerabilities and attack surfaces that AI systems introduce beyond conventional IT security.
• The AI Lifecycle & Where Security Fits – Learn how security must be integrated at every stage, from data collection to model deployment and maintenance.
• Common AI Threat Categories at a Glance – Get an overview of the primary threat vectors including adversarial attacks, data poisoning, and model extraction.

Module 3 – Key Threats in AI Today

• Adversarial Attacks Explained Simply – Discover how attackers can manipulate AI models with carefully crafted inputs that cause misclassification or incorrect outputs.
• Data Poisoning Basics – Learn how attackers can corrupt training data to introduce backdoors or biases that compromise model integrity.
• Prompt Injection & Real Examples – See real-world examples of how malicious prompts can exploit LLMs and generative AI systems to reveal sensitive information or execute unauthorized actions.
• Why These Attacks Matter for Organizations – Understand the business impact, financial risks, and reputational damage that AI security breaches can cause.

Module 4 – Core Security Principles for AI

• Secure by Design Mindset – Learn how to build security into AI systems from the ground up rather than bolting it on as an afterthought.
• Defense in Depth for AI Systems – Explore how multiple layers of security controls work together to protect AI infrastructure, data, and models.
• Least Privilege Applied to AI – Understand how to restrict access and permissions for AI systems to minimize the attack surface and limit potential damage.

Module 5 – Wrap-Up & Next Steps

• Course Recap – Review the key concepts, threats, and security principles covered throughout the course to reinforce your learning.
• From Basics to Certification – Discover pathways to advanced training and professional certification in AI security.

Business Takeaways

• Understand AI-Specific Risks: Learn why traditional security approaches aren't enough for AI systems and what unique threats organizations face.
• Protect Your Investments: Discover how to secure AI deployments to prevent costly breaches, data poisoning, and adversarial attacks that can compromise your AI models.
• Build Security Into Your AI Strategy: Gain insights into implementing secure-by-design principles that protect your organization from day one.
• Make Informed Decisions: Understand the security landscape so you can evaluate vendors, assess risks, and make strategic choices about AI adoption.
• Compliance & Governance: Learn how AI security aligns with regulatory requirements and helps establish proper governance frameworks.

Access Details

• Duration: ~30 minutes
• Format: Self-paced overview
• Price: Free with sign-up

Helps prepare you for:

This course provides foundational knowledge that prepares you for advanced AI security certifications including:

• AI Security Fundamentals Certification (AISECFND)
• AI Secure Developer Certification (AISECDEV)
• AI Security Engineer Certification (AISECENG)
• AI Security Architect Certification (AISECARCH)
• AI Security GRC Certification (AISECGRC)
• AI Security Leader Certification (AISECLEAD)
• AI Security PenTest Certification (AISECPEN)