Webinar Description
Key Takeaways
- Explores AI-driven automation for mapping Cyber Threat Intelligence (CTI) to the MITRE ATT&CK framework
- Highlights transformer models, large language models, and embedding similarity methods for TTP classification
- Presents findings from the CTI-AI case study, demonstrating operational improvements for SOC and CTI teams
- Addresses challenges of manual, inconsistent CTI mapping and analyst workload
- Features expert insights from EclecticIQ, Lukasiewicz AI, and NRD Cyber Security
The live webinar, “Intelligent Mapping of CTI to MITRE ATT&CK: Automating TTP Classification with AI,” brings together cybersecurity professionals to examine how artificial intelligence is reshaping the landscape of threat intelligence analysis. The session focuses on automating the mapping of unstructured CTI reports to the MITRE ATT&CK framework, a critical step for organizations seeking to standardize and scale their threat detection and response capabilities.
Industry Context: Why Automating CTI Mapping Matters
As cyber threats grow in complexity, security teams face mounting pressure to interpret vast amounts of threat intelligence quickly and accurately. Manual mapping of CTI to frameworks like MITRE ATT&CK is not only time-consuming but also prone to inconsistency, especially as adversary tactics evolve. Automation promises to alleviate these operational bottlenecks, enabling organizations to respond more effectively to emerging threats.
AI Technologies in Focus
The webinar delves into the practical application of transformer-based multi-label classification, embedding similarity, and large language models for automating TTP classification. These technologies are at the forefront of AI-driven security automation, offering the potential to reduce manual analyst effort and variability while improving the consistency of ATT&CK technique tagging.
Case Study Insights: CTI-AI in Action
Drawing on the CTI-AI case study, presenters illustrate how AI-powered automation can transform Security Operations Center (SOC) and CTI workflows. The findings highlight measurable gains in analysis speed, threat modeling accuracy, and the ability to anticipate adversary behavior. For organizations with mature security operations, these advancements translate into smarter, faster decision-making and a broader capacity to counter sophisticated threats.
Operational Challenges Addressed
- Manual and inconsistent mapping of CTI to MITRE ATT&CK
- High analyst workload and limited capacity for deep specialization
- Difficulty in standardizing and scaling threat intelligence analysis
- Slow adaptation to new adversary tactics, techniques, and procedures
Audience and Relevance
This event is tailored for cybersecurity professionals—threat intelligence analysts, SOC teams, security engineers, CTI managers, and security leadership—who are seeking to modernize their threat intelligence operations. Enterprises, managed security service providers, government agencies, and critical infrastructure organizations stand to benefit from the insights and practical approaches discussed.
Panel and Sponsorship
The session features a panel of experts from EclecticIQ, Lukasiewicz AI, and NRD Cyber Security, bringing together diverse perspectives on the intersection of AI and cyber threat intelligence. EclecticIQ, as the main sponsor, positions itself at the forefront of security automation and thought leadership in this rapidly evolving field.
Format and Experience
Structured as a virtual, live webinar, the event combines technical depth with real-world case study analysis. Attendees can expect a focused, educational experience designed to spark discussion and provide actionable insights for advancing CTI operations through AI-driven automation.