In the ever-evolving landscape of cybersecurity, the integration of Artificial Intelligence (AI) and machine learning techniques has emerged as a game-changer in threat detection and response. This online event will showcase the latest advancements in AI-powered threat detection and response systems, providing attendees with a comprehensive understanding of how these cutting-edge technologies are revolutionizing the way cyber threats are identified, mitigated, and responded to in real time. 

Key Highlights:

• Explore the latest AI and machine learning techniques for cyber threat detection and response
• Discover advanced AI-powered tools and platforms for real-time threat monitoring and analysis
• Learn about AI-driven threat-hunting and incident-response strategies
• Gain insights into AI-based anomaly detection and behavioural analysis
• Understand the challenges and best practices in deploying AI-powered security solutions
• Engage in discussions on the future of AI in cybersecurity threat management

Topics Covered:

1. AI and Machine Learning for Threat Detection
   • Supervised and unsupervised learning techniques for threat detection
   • Deep learning models for malware and threat pattern recognition
   • AI-powered network traffic analysis and anomaly detection
      
2. AI-Driven Threat Response and Mitigation
   • Automated threat response and remediation using AI
   • AI-powered incident response and forensic analysis
   • Intelligent security orchestration and automation
      
3. AI-Powered Threat Hunting and Behavioral Analysis
   • User and entity behaviour analytics (UEBA) using AI
   • AI-driven threat hunting and proactive threat identification
   • Adversarial behaviour modelling and attack pattern recognition
      
4. Real-Time Threat Monitoring and Analysis
   • AI-powered security information and event management (SIEM)
   • Real-time threat intelligence and threat intelligence sharing
   • AI-driven security operations center (SOC) automation
      
5. Deployment Challenges and Best Practices
   • Data quality and model training considerations
   • Addressing false positives and false negatives
   • Integration with existing security infrastructure and workflows
      
6. Future of AI in Threat Detection and Response
   • Emerging trends and innovations in AI for cybersecurity
   • AI-driven autonomous security systems
   • Ethical and regulatory considerations for AI in cybersecurity
      

Participants will gain insights into the state-of-the-art machine learning models, algorithms, and frameworks powering these advanced threat detection and response capabilities.