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Start 4 June 2026 03:30

Einde 4 June 2026

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What Does an LLM-Powered Threat Intelligence Program Look Like?

Join us to explore the dynamic influence of large language models (LLMs) on cyber threat intelligence programs. This comprehensive session will highlight how LLMs expand the capabilities of these programs and discuss the potential return on investment they offer to organizations. Perfect for those interested in AI-driven security solutions, th.
Black Hat via YouTube

Black Hat

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Overzicht

Join us to explore the dynamic influence of large language models (LLMs) on cyber threat intelligence programs. This comprehensive session will highlight how LLMs expand the capabilities of these programs and discuss the potential return on investment they offer to organizations.

Perfect for those interested in AI-driven security solutions, this event is hosted on YouTube under Artificial Intelligence Courses and Conference Talks categories. Don't miss this opportunity to gain insights into the future of threat intelligence with the power of LLMs.

Lesprogramma

  • Introduction to Large Language Models (LLMs)
  • Overview of LLMs and their capabilities
    Key LLMs in the market: GPT, BERT, and others
    Understanding how LLMs differ from traditional models
  • Cyber Threat Intelligence (CTI) Fundamentals
  • What is CTI and its importance in cybersecurity
    Core components and processes of CTI programs
    Common challenges faced by traditional CTI programs
  • Integration of LLMs in Threat Intelligence
  • How LLMs can enhance CTI capabilities
    Case studies of LLM applications in CTI
    Overcoming the limitations of traditional CTI with LLMs
  • Expanding Capabilities with LLMs
  • Automated threat data processing and analysis
    Improved threat detection and prediction
    Natural language processing for threat insights
  • Assessing Return on Investment (ROI)
  • Measuring the effectiveness and value of LLM-powered CTI
    Balancing costs and benefits in LLM integration
    Long-term impact on resource allocation and risk management
  • Implementation Strategies
  • Steps to integrate LLMs into existing CTI programs
    Technology, personnel, and process considerations
    Ensuring security and privacy in LLM deployment
  • Future Trends and Innovations
  • Emerging advancements in LLM technology
    The evolving landscape of cyber threats
    Preparing for future applications of AI in threat intelligence
  • Conclusion and Next Steps
  • Recap of key concepts and takeaways
    Building a roadmap for adopting LLMs in CTI
    Resources for further learning and exploration
  • Assessment and Evaluation
  • Quizzes and practical exercises
    Case study analysis and report submissions
    Group discussions and presentations

Vakgebieden

Conference Talks