TRAM is an open-source platform designed to advance research into automating the mapping of cyber threat intelligence reports to MITRE ATT&CK. TRAM enables researchers to test and refine Machine Learning (ML) models for identifying ATT&CK techniques in prose-based threat intel reports and allows threat intel analysts to train ML models and validate ML results.Through research into automating the mapping of cyber threat intel reports to ATT&CK, TRAM aims to reduce the cost and increase the effectiveness of integrating ATT&CK into cyber threat intelligence across the community. Threat intel providers, threat intel platforms, and analysts should be able to use TRAM to integrate ATT&CK more easily and consistently into their products.Threat Report ATT&CK Mapper (TRAM) aims to provide a streamlined approach for analyzing reports and extracting ATT&CK techniques. Our hope is that automating mapping to ATT&CK can reduce analyst fatigue, increase ATT&CK coverage, and improve consistency and accuracy of threat intelligence mappings. We are excited to now share a public beta of TRAM with the ATT&CK community.TRAM Under the Hood:1. Get Data : STIX & TAXII >> TIP 2. Clean the Data.3. Train Model.4. Collect Reports. >> Report Uploading5. Test Data.(Through ML Models).6. Accept or Review Model Decisions.(Score & Technique).7. Feedback loop.How TRAM is a Enabler:1. Make it easier to get started with ATT&CK.2. Remembering 266+ techniques is hard.>> Not only 266+ but is ever growing..>> MITRE ATT&CK is a Live framework.3. Use Reporting which is important.

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