Generative AI Risks & Cybersecurity: LLM Security

Protect AI Systems from Cyber Threats | Data Poisoning, Model Bias, Prompt Injection, AI Ethics & Governance

What you'll learn

  • Understand the core concepts of generative AI and associated cybersecurity risks.
  • Identify and analyze potential vulnerabilities within AI systems.
  • Learn strategies to mitigate risks including data poisoning and model bias.
  • Explore ethical considerations and best practices in AI development and usage.
  • Apply AI governance frameworks and establish security controls to protect generative AI deployments
Requirements
  • Basic Understanding of AI
  • Knowledge of Cybersecurity Principles
Description
The course "Risks and Cybersecurity in Generative AI" offers a full exploration into the intersection of artificial intelligence and cybersecurity. This course is designed to provide you with a thorough understanding of the potential risks and security measures necessary for deploying generative AI technologies safely and responsibly.

Here's what I found starting with an introduction to the basics of ai and generative models, you'll learn about the broad applications and benefits of generative ai, followed by an initial look at ai security considerations. The course progresses into a detailed examination of core cybersecurity risks such as data privacy, breaches at AI service providers, and the evolution of threat actors, equipping you with strategies to protect sensitive information and mitigate risks.

Further, you'll look at specific attack vectors and vulnerabilities unique to AI, including data leakage, prompt injections, and the challenges of inadequate sandboxing. Each module is structured to provide practical knowledge through real-world examples and demonstrative sessions, enhancing your learning experience.

The course also addresses network-level risks and AI-specific attacks, covering critical areas like Server Side Request Forgery (SSRF), DDoS attacks, data poisoning, and model bias. The final modules focus on legal and ethical considerations, guiding you through navigating intellectual property challenges and promoting ethical guidelines in AI development and usage.

By the end of this course, you'll be well-prepared to assess, address, and advocate for sturdy cybersecurity practices in the field of generative AI, ensuring these technologies are developed and deployed with the highest standards of security and ethical considerations.

Who this course is for:

  • Technology Professionals: IT professionals, cybersecurity analysts, and software developers looking to deepen their knowledge of AI-specific security challenges will benefit from this course. It provides the tools and insights needed to safeguard AI systems within their organizations.
  • AI and Machine Learning Enthusiasts: Individuals with a keen interest in artificial intelligence and machine learning who wish to understand the potential risks and ethical considerations associated with these technologies will find this course enriching.
  • Students and Academics: Undergraduate and graduate students studying computer science, artificial intelligence, or cybersecurity, as well as academics and researchers in these fields, will gain from the detailed exploration of AI vulnerabilities and mitigation strategies.
  • Business Leaders and Managers: Executives and managers overseeing AI projects or considering AI implementations in their business operations will learn how to assess risks and implement effective security protocols to protect company data and AI investments.


Your Instructor


Amar Massoud, Dr.
Amar Massoud, Dr.

PhD in computer science and IT manager with 36 years technical experience in various fields including IT Security, IT Governance, IT Service Management , Software Development, Project Management, Business Analysis and Software Architecture. I hold 80+ IT certifications such as :

ITIL 4 Master, ITIL 3 Expert

ISO 27001 Auditor, ComptIA Security+, GSEC, CEH, ECSA, CISM, CISSP, CISA

PGMP, MSP

PMP, PMI-ACP, Prince2 Practitioner, Praxis, Scrum Master

COBIT 2019 Implementor, COBIT 5 Assessor/Implementer

TOGAF certified

Lean Specialist, VSM Specialist

PMI RMP, ISO 31000 Risk Manager, ISO 22301 Lead Auditor

PMI-PBA, CBAP 

Lean Six Sigma Black Belt, ISO 9001 Implementer

Azure Administrator, Azure DevOps Expert, AWS Practitioner

And many more.


Join Today & Get Access To This Course & Every Resource You Need Grow Your Cyber Skills & Advance Your Career. Beginner & Expert Training.

Course Curriculum


  Training Overview
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  - Introduction & Lab Setup
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  - The GenAI Threat Landscape
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  - Prompt Injection & Jailbreaking
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  - AI-Specific Attack Vectors
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  - Defending GenAI Systems
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  - Secure GenAI Development
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  - Governance, Compliance & Ethics
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  - Emerging Threats & Future
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  - Capstone & Conclusion
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  Audio Version of the Course
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Frequently Asked Questions


When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

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