Webinar
Intelligent Mapping of CTI to MITRE ATT&CK: Automating TTP Classification with AI
Cyber Threat Intelligence (CTI) reports offer critical adversary insights but remain largely unstructured, hampering large-scale analysis and standardization. While MITRE ATT&CK provides a common taxonomy, bridging narrative CTI with this framework is complex due to ambiguous language, overlapping techniques, and category imbalance.
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This on-demand webinar explores automating CTI to MITRE ATT&CK mapping using transformer-based multi-label classification, embedding similarity methods, and LLMs, before diving into findings from the CTI-AI case study; examining how AI enhances SOC and CTI operations through faster analysis, improved threat modelling, and smarter decision-making.
Watch this webinar to learn how:
- AI-driven mapping enables scalable, consistent ATT&CK technique tagging
Watch this webinar to learn how:
- AI-driven mapping enables scalable, consistent ATT&CK technique tagging
- Transformer models and LLMs reduce manual analyst effort and variability
- CTI-AI case study findings demonstrate measurable SOC operational improvements
- Guided workflows reduce dependency on deep specialisation, broadening analyst capacity
- Automation enables organisations to anticipate and counter emerging adversary TTPs