In today's dynamic complex cyber environments, Cyber Threat Intelligence (CTI) and the risk
of cyberattacks are both increasing. This means that organizations need to have a strong …

Cybersecurity researchers have contributed to the automated extraction of CTI from textual
sources, such as threat reports and online articles describing cyberattack strategies …

Instant analysis of cybersecurity reports is a fundamental challenge for security experts as
an immeasurable amount of cyber information is generated on a daily basis, which …

In this paper we describe an ontology developed for a cyber security knowledge graph
database. This is intended to provide an organized schema that incorporates information …

After Action Reports (AARs) provide incisive analysis of cyber-incidents. Extracting cyber-
knowledge from these sources would provide security analysts with credible information …

Owing to continuous cyberattacks, a large amount of threat intelligence is generated online
every day. However, threat intelligence is mostly unstructured and multisource …

Security Analysts that work in a'Security Operations Center'(SoC) play a major role in
ensuring the security of the organization. The amount of background knowledge they have …

Countless cyber threat intelligence (CTI) reports are used by companies around the world
on a daily basis for security reasons. To secure critical cybersecurity information, analysts …

A vast majority of cyber security information is in the form of unstructured text. A much-
needed task is to have a machine-assisted analysis of such information. Named Entity …

The paper presents the results of applying the BERT representation model in the named
entity recognition task for the cybersecurity domain in Russian. Several variants of the model …