Course Title:

Generative AI and its impact on Cyber Security

This course explores how Generative AI is transforming the cybersecurity landscape—both as a powerful defensive ally and a potential threat. Learners will understand AI-driven attack techniques such as phishing, deepfakes, and automated malware creation, alongside advanced AI-powered….
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Course overview 
This course explores how Generative AI is transforming the cybersecurity landscape—both as a powerful defensive ally and a potential threat. Learners will understand AI-driven attack techniques such as phishing, deepfakes, and automated malware creation, alongside advanced AI-powered defenses for threat detection, incident response, and risk management. Through real-world examples and case studies, participants will gain insights into evolving AI threats, ethical considerations, and future trends in cybersecurity. By the end, you’ll be equipped to anticipate and counter the next wave of AI-powered cyber risks.
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Introduction

01:Introduction to Generative AI and Cybersecurity Transformation

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This section introduces the fundamentals of Generative AI and its transformative impact on cybersecurity. Learners will explore how AI-driven models are reshaping threat detection, response automation, and digital defense strategies. It sets the foundation for understanding both the opportunities and challenges that arise as AI technologies integrate deeply into modern cybersecurity systems.
01 Understanding generative AI
09:35
02 Real-world examples
05:39
03 The Role of Thought Leaders in Driving Innovation and Adoption
04:58
Assessment 1
5 questions

02:Generative AI Security Risks

This section explores the security risks introduced by Generative AI, including data poisoning, prompt injection, deepfakes, and model manipulation. Learners will understand how adversaries exploit AI systems and the potential impact on data integrity, privacy, and trust. The section also highlights emerging frameworks and best practices to identify, mitigate, and manage these evolving AI-driven threats.
1.Identifying the Unique Security Risks Posed by Generative AI
05:19
2.Adversarial attacks and model manipulation
03:36
03 Exploring case studies of generative AI-related cyber threats
05:03
Assessment 2
5 questions

03:The Future of Generative AI and Cybersecurity

Explore the transformative impact of Generative AI on cybersecurity in this forward-looking course. Understand emerging AI-driven threats, defense strategies, and ethical considerations shaping the digital landscape. Gain practical insights into leveraging AI for proactive security, risk mitigation, and threat intelligence. Ideal for cybersecurity professionals, tech leaders, and AI enthusiasts eager to stay ahead in a rapidly evolving domain. Prepare for the future of secure, intelligent, and adaptive digital systems.
1.Predictions and Insights on How Generative AI
04:26
2.Anticipated advancements and challenges in the near future
05:23
3.The changing landscape of AI-powered cyber defense
07:11
Assessment 3
5 questions

04:Defending Against Generative AI Threats: Strategies and Solution.

Learn how to safeguard your digital environment against emerging threats from Generative AI. This course explores proactive strategies, defensive mechanisms, and practical solutions to detect, prevent, and mitigate AI-driven attacks. Gain hands-on insights into automated threat detection, phishing and deepfake identification, access controls, and predictive cybersecurity techniques. Designed for security professionals and AI enthusiasts, it equips you with the knowledge to stay one step ahead in an evolving threat landscape.
1 defensive mechanisms against generative AI attacks – Introduction
01:28
1.1 Automated Threat Detection and Response
05:00
1.2 Cyber Attack Simulations
03:48
1.3 . Predictive Analysis
04:14
1.4 Phishing Detection and Deepfake Identification
03:44
1.5 Access Controls
03:17
2.Proactive strategies for mitigating security risks
04:51
3.Leveraging generative AI for cyber defense and anomaly detection
03:50
Assessment 4
10 questions

05:Emerging Trends and Ethical Practices in AI-Powered Cybersecurity

Explore the cutting-edge intersection of artificial intelligence and cybersecurity in this course on Emerging Trends and Ethical Practices in AI-Powered Cybersecurity. Learn how AI is transforming threat detection, incident response, and security automation while addressing critical ethical challenges. Understand emerging technologies, privacy-preserving solutions, and responsible AI practices that safeguard digital assets. Gain insights into behavioral-based authentication, quantum-safe encryption, and IoT security strategies. Equip yourself with the knowledge to implement AI-driven defenses ethically and effectively in modern cybersecurity environments.
01 Exploring emerging trends and research directions
00:50
1.1 AI Powered Cyber Security
03:43
1.2 Quantum-Safe Encryption
03:16
1.3 Cybersecurity in the Internet of Things (IoT) Era
03:02
1.4 Cyber-Physical System Security
03:11
1.5 Privacy-Preserving Technologies
02:58
1.6 The intersection of generative AI with other cybersecurity technologies – Intro
04:49
1.7 Enhancing block chain security
03:38
1.8 IOT Security
04:16
1.9 Intelligent Cyber Threat Hunting
03:59
2.0 Behavioral-Based Authentication
03:53
2.1 Ethical considerations and responsible AI practices in cybersecurity – Intro
01:37
2.2 The Ethics of AI-Powered Cyber Defense
03:51
2.3 The Importance Of Transparent AI Algorithms in Cybersecurity
03:16
2.4 Ensuring Data Privacy in Cybersecurity
03:01
2.5 Accountability and Human Oversight
02:38
2.6 Ethical AI Development and Deployment
02:44
Assessment 5
15 questions

06:Building a Future-Ready Organization: Learning, Innovation, and Collaboration

This course explores practical strategies for companies to thrive in the rapidly evolving business and technology landscape. Learn what organizations should do today to stay competitive while fostering a culture of continuous learning and innovation. Discover how to implement collaborative knowledge-sharing strategies that drive team performance and organizational growth. Gain insights into building resilient, forward-thinking workplaces where innovation is embedded into daily operations. Equip yourself with the tools to lead, adapt, and create lasting impact in your organization.
1.1 What Companies Should Do Today
05:25
1.2 Building a culture of continuous learning and innovation
04:03
1.3 Collaborative Strategies for Knowledge-Sharing
02:43
Assessment 6
5 questions

07:ATLAS and MITRE: Enhancing AI Security and Threat Analysis – Update

Explore the intersection of AI and cybersecurity in this comprehensive course on ATLAS and MITRE. Learn how ATLAS complements the MITRE ATT&CK framework to identify, analyze, and mitigate threats to AI systems. Through real-world case studies and hands-on exercises, you’ll gain practical skills to strengthen AI security, understand emerging risks, and implement effective defense strategies. Perfect for cybersecurity professionals, AI practitioners, and anyone looking to safeguard intelligent systems against evolving threats.
01 Introduction to ATLAS and its significance in AI security
00:45
02 How ATLAS complements the MITRE ATT&CK Framework
01:49
03 An overview of the threats and risks associated with AI systems
05:09
04 ATLAS MITRE Framework – an overview
05:09
05 ATLAS MITRE Navigator
03:57
06 ATLAS MITRE – CASE Studies
02:06
Assessment 7
5 questions

08:Get Certified

Certificate of Completion