Applications of artificial intelligence (AI) for cybersecurity tasks are attracting greater
attention from the private and the public sectors. Estimates indicate that the market for AI in …

Cyber-defense systems are being developed to automatically ingest Cyber Threat
Intelligence (CTI) that contains semi-structured data and/or text to populate knowledge …

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

We present CyBERT, a domain-specific Bidirectional Encoder Representations from
Transformers (BERT) model, fine-tuned with a large corpus of textual cybersecurity data …

With the prevalence of Internet of Things (IoT) systems, there should be a resilient
connection between Space, Air, Ground, and Sea (SAGS) networks to offer automated …

In the digital era, threat actors employ sophisticated techniques for which, often, digital
traces in the form of textual data are available. Cyber Threat Intelligence~(CTI) is related to …

In an era where cyberspace is both a battleground and a backbone of modern society, the
urgency of safeguarding digital assets against ever-evolving threats is paramount. This …

Computer security incident response teams typically rely on threat intelligence platforms for
information about sightings of cyber threat events and indicators of compromise. Other …

Today there is a significant amount of fake cybersecurity related intelligence on the internet.
To filter out such information, we build a system to capture the provenance information and …

A wide variety of Cyber Threat Information (CTI) is used by Security Operation Centres
(SOCs) to perform validation of security incidents and alerts. Security experts manually …