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OWASP LLM

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CYB 213 – Generative AI Privacy & Cybersecurity Risk

20 Minutes

.4 Credits

CYB 215 – Integrating AI into Cybersecurity Operations (NEW)

25 Minutes

0.50 Credits

CYB 311 – Threat Analysis with AI (UPDATED)

20 Minutes

0.40 Credits

CYB 350 – AI Driven Incident Analysis Techniques

20 Minutes

0.40 Credits

LAB 366 – Defending Python AI Applications from Prompt Injection

5 Minutes

0.1 Credits

LAB 367 – Defending Python AI Applications from Sensitive Information Disclosure

5 Minutes

0.1 Credits

LAB 368 – Defending Python AI Applications from Supply Chain Compromise

5 Minutes

0.1 Credits

LAB 369 – Defending Python AI Applications from Data and Model Poisoning

5 Minutes

0.1 Credits

LAB 370 – Defending Python AI Applications from Improper Output Handling

5 Minutes

0.1 Credits

LAB 371 – Defending Python AI Applications from Excessive Agency

5 Minutes

0.1 Credits

LAB 372 – Defending Python AI Applications from System Prompt Leakage

5 Minutes

0.1 Credits

LAB 373 – Defending Python AI Applications from Vector and Embedding Weaknesses

5 Minutes

0.1 Credits

LAB 374 – Defending Python AI Applications from Misinformation

5 Minutes

0.1 Credits

LAB 375 – Defending Python AI Applications from Unbounded Consumption

5 Minutes

0.1 Credits

LAB 376 – Defending Node.js AI Applications from Prompt Injection

15 Minutes

.30 Credits

LAB 377 – Defending Node.js AI Applications from Improper Output Handling

15 Minutes

.30 Credits

LAB 378 – Defending Node.js AI Applications from System Prompt Leakage

15 Minutes

.30 Credits

LAB 379 – Defending Node.js AI Applications from Misinformation

15 Minutes

.30 Credits

LAB 380 – Defending Node.js AI Applications from Unbounded Consumption

15 Minutes

.30 Credits