Name: Artificial Intelligence Risks in Cybersecurity
Availability: InStock

What You'll Learn

Students will learn the core fundamentals of AI governance and risk management through industry-standard frameworks like NIST.
The course provides deep insights into securing Large Language Models (LLMs) against specific threats like prompt injections, hallucinations, and SSRF.
Learners will discover how to identify and mitigate ethical risks, including model bias and data privacy concerns in generative systems.
Students will master defensive strategies to protect against data leakage, data poisoning, and evolving cyber-attacks from AI-powered threat actors.
By the end, students will be equipped with practical tools and checklists to implement robust AI security and compliance within any organization.

Requirements

A basic understanding of how computer systems and the internet function is required to navigate the course material.
No advanced programming skills or prior experience in artificial intelligence development are necessary to begin.
A foundational interest in cybersecurity and emerging technologies will help you better understand the threat mitigation strategies.
Familiarity with general IT or business terminology is helpful for the sections on governance and risk management frameworks.
An eagerness to explore the ethical, legal, and security challenges posed by modern AI systems is the most important prerequisite.

Cybersecurity professionals and ethical hackers who want to specialize in securing AI infrastructure and Large Language Models.
IT managers and organizational leaders responsible for implementing AI governance and risk management frameworks.
Compliance officers and legal professionals interested in the ethical, legal, and copyright challenges of generative AI.
Security auditors who need practical methodologies and checklists for evaluating the vulnerabilities of AI systems.
Students and tech enthusiasts looking to stay ahead of the curve by understanding defense strategies against modern AI-driven cyber threats.

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14,525 Students

6 Courses

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