Navigating AI Risks in Cybersecurity: Your Essential Guide

Enroll in this Free Udemy Course to understand AI risks in cybersecurity—secure your future today!

In today’s fast-evolving digital landscape, understanding the risks associated with Artificial Intelligence in cybersecurity is crucial. As AI technologies advance, they introduce new vulnerabilities that can be exploited if not managed properly. This course takes a deep dive into the strategic, ethical, and technical risks posed by AI systems, enabling professionals to comprehend the landscape without the need for programming knowledge.

You’ll begin by exploring the foundations of AI governance, learning how to develop and implement a risk management framework tailored for organizations. From there, the course covers specific attacks on Large Language Models (LLMs) such as prompt injections and data leakage, equipping you with practical skills to defend against these emerging threats. We also tackle the ethical considerations tied to AI, including model bias and the legal implications of automated decision-making.

This strictly theory-based course is designed for a range of professionals—from cybersecurity experts looking to expand their skill set to IT managers seeking to integrate AI safely into their operations. By the end, you will have access to exclusive tools and checklists ensuring your organization stays ahead of the evolving cyber threat landscape. Enroll today to empower yourself with essential knowledge in the critical junction of AI and cybersecurity!

What you will 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.

Course Content:

  • Sections: 7
  • Lectures: 32
  • Duration: 4h 1m

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.

Who is it for?

  • 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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