What you'll learn

Skills you'll gain

There are 5 modules in this course

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.

Generative AI Security & Prompting

Misinformation & Deepfakes

Hyper-Personalization, Persuasion, & Phishing

Generative AI Privacy & Security: A Perspective for Businesses & Organizations

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