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Impact of Generative AI on Cyber Security - BaDshaH - 10-31-2023
![[Image: c8a44d2a95fba8a920a87dd44d1553fc.jpg]](https://i122.fastpic.org/big/2023/1031/fc/c8a44d2a95fba8a920a87dd44d1553fc.jpg)
Published 10/2023
Created by Anand Rao Nednur
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 24 Lectures ( 1h 38m ) | Size: 2 GB
Code, Chaos, and Cyber Shields - A silent battle.
[b]What you'll learn[/b]
Understanding of Generative AI
Generative AI Security Risks
Generative AI Security Risks
Case Studies
Future Trends
Ethical Considerations
Practical Skills
Thought Leadership
Preparation Strategies
[b]Requirements[/b]
Basic Cybersecurity Knowledge
Familiarity with AI and Machine Learning
Time Commitment
[b]Description[/b]
Cybersecurity in the World of Generative AIIn our ever-evolving digital landscape, the emergence of Generative Artificial Intelligence (Generative AI) stands as a transformative force, creating new opportunities while simultaneously introducing novel and complex security challenges. This comprehensive course, "Cybersecurity in the World of Generative AI," is your gateway to understanding, addressing, and mastering the intricate relationship between Generative AI and the safeguarding of digital assets.Course Overview:The course is designed for a diverse audience, spanning cybersecurity professionals, AI practitioners, IT leaders, ethical hackers, students, and anyone intrigued by the crossroads of cybersecurity and AI. It offers a deep dive into the multifaceted world of Generative AI and equips you with the knowledge, tools, and strategies needed to protect against emerging threats in this rapidly evolving field.Key Learning Objectives:Understanding Generative AI: Begin by unraveling the fundamentals of Generative AI, including its various forms, applications, and the principles that drive these AI models. Gain insights into how AI can generate text, images, and even deepfakes.Generative AI Security Risks: Delve into the dark side of AI. Explore real-world examples and case studies of how Generative AI has been exploited for malicious purposes, from disinformation campaigns to identity theft.Defensive Mechanisms: Learn the art of defending against Generative AI-driven attacks. Discover the latest defensive technologies, tools, and strategies, including anomaly detection, threat modeling, and proactive cybersecurity measures.Real-world Case Studies: Real examples of how Generative AI is already transforming the cybersecurity industry. Explore instances where AI-powered attacks have exposed vulnerabilities in systems and organizations, and learn from these cases.Future Trends: Peek into the crystal ball to anticipate the future of Generative AI in cybersecurity. Gain a competitive edge by understanding what's on the horizon in this dynamic field.Ethical Considerations: Navigate the ethical minefield surrounding AI and cybersecurity. Understand the importance of responsible AI practices, data privacy, and the need for ethical decision-making in the digital age.Preparation Strategies: Equip yourself with practical strategies that organizations should adopt today to prepare for the evolving landscape of Generative AI in cybersecurity.Prepare for the Future:As the digital realm continues to be reshaped by AI, preparing for the inevitable challenges and opportunities it presents is paramount. Join us in the exploration of "Cybersecurity in the World of Generative AI" and be at the forefront of safeguarding the digital landscape.Enroll now and be part of a community dedicated to staying ahead of the cybersecurity curve in the age of Generative AI.
Who this course is for
Cybersecurity Professionals
AI and Machine Learning Practitioners
IT Managers and Decision-Makers
Ethical Hackers and Penetration Testers
Students and Researchers
Thought Leaders and Policymakers
AI Developers and Engineers
Anyone Concerned About Data Privacy
Industry Professionals in Sensitive Sectors
General Technology Enthusiasts
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