Guardians of the AI Era - Navigating the Cybersecurity Landscape of Tomorrow

Overview

Explore the future of cybersecurity in the AI era, examining challenges and opportunities for professionals. Learn to adapt and innovate in a rapidly evolving technological landscape.

Syllabus

• Introduction to AI and Cybersecurity
Overview of AI technologies
The intersection of AI and cybersecurity
Importance of cybersecurity in the AI era
• Current Cybersecurity Landscape
Threat types and surface areas
Key cybersecurity concepts and frameworks
Case studies of recent cybersecurity incidents
• AI Tools for Cybersecurity
AI-powered threat detection and response
Machine learning models for anomaly detection
Predictive analytics and threat intelligence
• Cybersecurity Threats in AI Systems
Adversarial attacks on AI models
Data privacy and protection in AI systems
Ethical considerations in AI and cybersecurity
• Building Robust AI Systems
Designing secure AI architectures
Implementing security best practices in AI development
Testing and validating AI systems for vulnerabilities
• Regulatory and Compliance Issues
Understanding global cybersecurity regulations
Compliance challenges in AI applications
Standards and frameworks for AI safety
• Future Trends in Cybersecurity
Emerging threats in AI-driven networks
Innovation and the role of AI in enhancing security
Preparing for the future: Skills and tools for professionals
• Workshop: Hands-on with AI Security Tools
Practical exercises using AI-based cybersecurity tools
Simulating threat scenarios and response strategies
• Conclusion and Career Pathways
Key takeaways and strategic insights
Career opportunities in AI and cybersecurity
Continuing education and professional development opportunities

Subjects

Conference Talks