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Generative AI Cybersecurity & Privacy for Leaders
Coursera
Course
Unknown

Generative AI Cybersecurity & Privacy for Leaders

Vanderbilt University

Essential primer on cybersecurity and privacy challenges introduced by generative AI, focusing on risk management and trust within organizations.

Unknown5 weeksEnglish5,358 enrolled

About this Course

Are you ready to lead your organization into the future of cybersecurity while safeguarding privacy in an increasingly AI-driven world? This primer provides an essential foundation in generative AI, exploring its transformative potential and the specific cybersecurity and privacy risks it introduces. Learn to embrace AI’s capabilities while maintaining trust, compliance, and security in your organization. What You'll Learn: - Safeguard Organizational Privacy: This primer will help you understand the privacy implications of AI systems and the risks posed by data fusion across platforms. - Address Emerging AI-Specific Threats: Develop a clear understanding of vulnerabilities like prompt injection, deepfakes, AI-enhanced phishing, and adversarial text in AI deployments. - Build Confidence in AI Adoption: Gain the foundational tools and techniques to implement secure environments for AI development and responsible usage. Who Is This Course For? - Cybersecurity and Privacy Leaders: Seeking a primer to harness AI while preserving organizational integrity. - IT Professionals: Interested in responsibly implementing AI within technical infrastructures. Business Executives: Looking for a foundational understanding of AI integration without compromising compliance or ethics. - Policy Makers: Aspiring to shape legislation around AI and privacy with a deep technical primer. Why Take This Course? Generative AI offers unmatched opportunities to enhance security and privacy, but it also brings novel challenges. From adversarial risks to complex data privacy concerns, leaders need a clear and concise primer to navigate these complexities effectively. This course provides the essential knowledge and skills to balance innovation with protection. By the end, you’ll be empowered to lead AI initiatives that drive progress while mitigating the unique cybersecurity risks posed by generative AI. With this primer, you’ll confidently lay the groundwork for safe and responsible AI adoption

What You'll Learn

  • Gain understanding of protecting sensitive data and managing privacy risks when adopting generative AI
  • Recognize and mitigate emerging vulnerabilities like prompt injection, adversarial text, and deepfakes
  • Leverage AI capabilities while maintaining trust, compliance, and security in organizations

Prerequisites

  • No prior background is necessary

Instructors

D

Dr. Jules White

Professor of Computer Science

D

Dr. Sam Hays

Topics

Security
Information Technology
Machine Learning
Data Science
AI Security
AI Personalization
Threat Modeling
Responsible AI
Public Affairs
Threat Detection

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

الأمن
تكنولوجيا المعلومات
التعلم الآلي
علوم البيانات
أمن الذكاء الاصطناعي
التخصيص الذكي
نمذجة التهديدات
الذكاء الاصطناعي المسؤول
Public Affairs
Threat Detection

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