This course is designed to equip you with the knowledge to protect large language models (LLMs) and AI systems from emerging threats. You will explore critical security challenges such as prompt injection, training data poisoning, and model theft. You will gain insights into frameworks like MITRE ATLAS and NIST, and learn to implement best practices for securing AI ecosystems. By the end of this course, you will be proficient in identifying vulnerabilities, applying mitigation strategies, and enhancing the resilience of AI systems.
Certified Ethical Hacker (CEH): Unit 8
Certified Ethical Hacker (CEH): Unit 8
This course is part of Certified Ethical Hacker (CEH) Specialization
Instructor: Pearson
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
7 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Develop a foundational understanding of AI threats and LLM security frameworks.
Master techniques to mitigate risks such as prompt injection and training data poisoning.
Implement best practices for securing AI supply chains and protecting sensitive information.
Enhance AI system resilience through proactive security testing and incident response strategies.
Skills you'll gain
- Generative AI
- Application Security
- Data Security
- System Monitoring
- MITRE ATT&CK Framework
- Incident Response
- Large Language Modeling
- Continuous Monitoring
- Computer Security Incident Management
- Information Systems Security
- Threat Detection
- Prompt Engineering
- Artificial Intelligence
- Threat Modeling
- Open Web Application Security Project (OWASP)
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
July 2025
Assessments
7 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Certified Ethical Hacker (CEH) Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There is 1 module in this course
This module covers securing generative AI. It begins with an introduction to AI threats and large language model (LLM) security. You will learn about OS Top 10 for LLM applications and the MITRE ATLAS framework. You will learn about the Coalition for Secure AI and the best practices being developed by organizations like NIST and others. You will learn about prompt injection, insecure output handling, training data poisoning, model denial of service, and supply chain security. You'll also learn about other threats, like sensitive information disclosure, insecure plugin design, and excessive agency. You will learn concepts that will help you understand overreliance in AI, model theft attacks, and understanding red teaming of AI models. The module will also cover retrieval-augmented generation (RAG) and its different permutations, as well as explore tools like LangChain, LlamaIndex, LangGraph, and other orchestration libraries used with AI. You will learn how to secure embedding models, secure vector databases, and develop strategies for monitoring and incident response.
What's included
36 videos7 assignments
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Explore more from Security
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
More questions
Financial aid available,