Cyber Security with GenAI | OWASP Top 10 for LLMs | MITRE ATLAS | ChatGPT | Microsoft Security Copilot

What you'll learn
Explore the fundamentals of generative AI, including its principles, applications, and implications for cyber security.
Learn Cyber Security with generative AI
Learn how to write effective prompts for Cyber Security with generative AI
Learn advanced concepts for Cyber Security with generative AI
Learn how generative AI and ChatGPT are transforming cyber security
Learn to leverage ChatGPT for SOC
Learn to leverage ChatGPT for CTI
Learn to leverage Microsoft Copilot for Security for SOC
Learn to leverage Microsoft Copilot for Security for CTI
Review the OWASP Top 10 vulnerabilities specific to large language models and how to mitigate them.
Get acquainted with the MITRE ATLAS framework and its application to generative AI threat analysis.
Develop skills in threat modeling to identify, assess, and address potential security threats to generative AI systems.
Design and implement a robust security architecture tailored for generative AI environments.
Analyze a detailed case study on exploiting large language models to understand potential vulnerabilities and protective measures.
Build a Governance Program for GenAI
Learn about common attacks on Generative AI systems and how to defend against them.
Understand the core concepts and methodologies involved in penetration testing for Large Language Models (LLMs).
Learn the step-by-step process of conducting penetration tests specifically tailored for Generative AI systems.

Requirements
Basic IT Knowledge
Willingness to learn cool stuff!

Description
AI Security by Christopher Nett is a meticulously structured Udemy course aimed at IT professionals seeking to master AI Security. This course systematically walks you through the initial basics to advanced concepts with applied case studies. You will gain a deep understanding of the principles and practices necessary for AI Security.Key benefits for you:Generative AI Basics: Understand the fundamental concepts and techniques that underpin generative AI and its applications.Cyber Security for GenAI: Explore strategies and best practices for securing generative AI systems against cyber threats.OWASP Top 10 for LLMs: Understand the core threats, vulnerabilities, and risks associated with Large Language Models.Other Risks for GenAI: Understand additional risks associated with generative AI, including ethical concerns, bias, and compliance issues.Threat Modeling: Develop skills in threat modeling to identify, assess, and address potential security threats to generative AI systems.ChatGPT for SOC: Leverage ChatGPT to enhance SOC operations with threat detection and response.ChatGPT for CTI: Utilize ChatGPT to analyze threat data and generate actionable intelligence reports.ChatGPT for Vulnerability Management: Leverage ChatGPT to identify, assess, and prioritize vulnerabilities efficiently.ChatGPT for Application Security: Apply ChatGPT to automate security testing and ensure application integrity.Microsoft Copilot for Security: Harness Microsoft Copilot to integrate AI-driven insights and automate security tasks within your infrastructure.The Penetration Testing Process for GenAI: Learn the step-by-step process of conducting penetration tests specifically tailored for Generative AI systems.MITRE ATLAS: Explore the MITRE ATLAS framework for assessing AI and ML security.Governance for GenAI: Building a Governance Program for GenAI: Gain insights from a practical example on how to develop and implement a comprehensive governance program for generative AI within an organization.Secure AI with Microsoft Defender for Cloud: Gain hands-on experience by applying the security principles and practices learned throughout the course in combination with Microsoft Defender CSPM.

Who this course is for
SOC Analyst
Security Engineer
Security Consultant
Security Architect
Security Manager
CISO
Security Professional
Cyber Threat Hunter

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