As Artificial Intelligence (AI) continues to advance and integrate into various domains, its impact on cybersecurity is becoming increasingly significant. While AI holds tremendous potential for enhancing cybersecurity capabilities, it also introduces new risks and challenges that must be addressed. This online event will delve into the intricate relationship between AI and cybersecurity, exploring the potential risks and challenges posed by AI systems, as well as effective mitigation strategies and best practices to ensure their secure implementation and use.

Key Highlights:

• Understand the unique risks and vulnerabilities associated with AI systems in cybersecurity contexts
• Explore real-world case studies and examples of AI-related cybersecurity incidents and breaches
• Gain insights into the latest research and developments in AI-powered cyber threats and attacks
• Learn about effective mitigation strategies and best practices for secure AI development and deployment
• Discover tools, techniques, and frameworks for AI risk assessment and risk management
• Engage in discussions on ethical considerations and responsible AI practices in cybersecurity

Topics Covered:

1. AI and Cybersecurity Landscape
   • Overview of AI applications in cybersecurity
   • Potential benefits and risks of AI in cybersecurity
      
2. AI-Specific Cybersecurity Risks and Threats
   • Adversarial attacks and model evasion techniques
   • Data poisoning and model corruption
   • Privacy concerns and data leakage
   • AI system vulnerabilities and attack surfaces
      
3. Mitigating AI-Specific Cybersecurity Risks
   • Secure AI development lifecycle
   • Robust model training and testing methodologies
   • AI system hardening and defence mechanisms
   • Monitoring and incident response for AI systems
      
4. AI Risk Assessment and Risk Management
   • AI risk assessment frameworks
   • AI threat modelling and risk quantification
   • AI risk mitigation strategies and controls
      
5. Ethical Considerations and Responsible AI
   • Fairness, accountability, and transparency in AI systems
   • Ethical principles and guidelines for AI in cybersecurity
   • Governance and regulatory frameworks for AI
      
6. Industry Perspectives and Case Studies
   • Real-world examples of AI-related cybersecurity incidents
   • Best practices and lessons learned from industry leaders

The event will feature keynote speakers, panel discussions, and interactive sessions, providing attendees with a comprehensive understanding of the risks, challenges, and mitigation strategies associated with the integration of AI in cybersecurity.