Introduction to AI Security
Your first stop in AI security — a tour of the technical and organizational forces shaping the field, from threat modeling to the frameworks now governing it.
Curriculum
Nine modules — map an AI system's attack surface, work through each class of AI-specific attack, then the controls and governance that hold them in place.
What is AI Security?
The three-layer view of an AI system — what goes in, what makes decisions, and what it can touch — and why AI reshapes the security picture.
Data Poisoning & Training Data Risks
How poisoned or manipulated training data corrupts a model from the inside, and what it takes to protect the data pipeline.
Adversarial Attacks
Crafted inputs designed to fool a model into the wrong decision — how they work and how to defend against them.
Prompt Injection & LLM Security
The injection risks unique to LLMs, why untrusted input crosses trust boundaries, and the guardrails that contain it.
Model Extraction & IP Protection
How attackers reconstruct or steal a model through its outputs, and how to protect the model as intellectual property.
Privacy Risks
How models leak the data they were trained on, and the controls that keep sensitive information from escaping.
AI Supply Chain Security
The risk hiding in third-party models, datasets, and dependencies — and how to vet what you build on.
Securing AI in Production
Practical, layer-by-layer controls for AI systems once they're live and reachable by real users and tools.
Governance, Compliance & Responsible AI
Why governance is what keeps every control in place over time — the frameworks and obligations shaping AI security.
Earn a certificate
Finish the course and earn a verifiable certificate — issued by AI Security University with its own public verification page, and shareable straight to your LinkedIn profile.
- Public verification page
- Counts toward 2 CPE credits
- Open Badge compatible
- Add to LinkedIn
To earn it: Complete all nine course modules and score 80% or higher on the end-of-course assessment.
See a sample credentialYour instructor
Hemanth Tadepalli
Hemanth is the Cybersecurity Compliance Expert at May Mobility, where he works on autonomous vehicle technology. His career spans management consulting at AlixPartners, cybersecurity at Mandiant, Google, and the Michigan-based startup SensCy — implementing and maintaining the security measures that protect systems, networks, and data from cyber threats.
Start with the fundamentals
Free and self-paced. Enroll and start whenever you're ready.