The SCR.AI initiative is using Natural Language Processing (NLP) techniques such as transformer models to identify adversarial techniques in written text. The initiative was awarded ELISE funding as part of the 1st ELISE Open Call, to further develop an early-warning system for future cyber threats companies and organizations can use to foresee and better prevent cyber-attacks. The team has now been invited to the European MITRE ATT&CK Community Workshop to present the state of the work.
From the abstract of the presentation: "Reports on cyber-attacks typically do not contain direct references to the ATT&CKTTPs, complicating the automated processing of the contained information. Using entity extraction and classification and techniques from Natural Language Processing(NLP) we are developing software that automatically extracts TTP information from free text. In the talk, we will present our txt2stix software that turns textual threat reports into STIX files.”
The MITRE ATT&CK Community Workshop will take place on June 2, 2022. More information about the event is available here.
Find out more about the ELISE 1st Open call and awarded companies here.
