Overview
Explore how AI is transforming cybersecurity with new vulnerabilities and defenses, from AI-driven attacks to adaptive defense systems reshaping today's and tomorrow's threat landscape.
Syllabus
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- Introduction to AI in Cybersecurity
-- Overview of AI technologies in the cybersecurity domain
-- Historical context: The evolution of AI in security
- The Role of AI in Cyber Defense
-- AI-based threat detection and prediction
-- Machine learning algorithms for real-time intrusion detection
-- Adaptive security measures: AI-driven firewalls and antivirus
- AI-Driven Attacks: Emerging Threats
-- Overview of AI-powered attack methodologies
-- Deepfakes and AI-generated phishing attacks
-- Adversarial machine learning and AI evasion techniques
- Case Studies: AI in Action
-- Real-world examples of AI-enhanced cybersecurity measures
-- Analysis of recent AI-driven cyber attacks
- Opportunities and Challenges in AI Cybersecurity
-- Benefits of AI-enhanced security systems
-- Technical and logistical challenges in implementing AI defenses
-- Skills and knowledge required for AI-driven security solutions
- Ethical Considerations and AI
-- Privacy concerns and AI surveillance
-- The responsibility of using AI in security operations
-- Bias and fairness in AI security systems
- The Future of AI in Cybersecurity
-- Predicting future trends in AI and cyber threats
-- The role of AI in international cybersecurity regulation
-- Preparing for the next wave of AI-developed security technologies
- Conclusion and Course Wrap-Up
-- Recap of key concepts and takeaways
-- Discussion on staying informed and adaptable in the AI-driven cybersecurity landscape
Taught by
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On-Demand
