AI language model for Darkweb
TI quickly detects various leak information by reviewing and analyzing DDW threat data and protects customers from external threats.
DI analyzes brand/digital abuse occurring by studying transaction data on digital platforms and detects abnormal transaction users.
VI with AI-based detection technology, conducts in-depth analysis of virtual asset transactions and monitor illegal transactions.
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[Notice] "DarkBERT: A Language Model for the Dark Side of the Internet" accepted at ACL 2023
S2W's DarkBERT research paper has been accepted at ACL, prestigious academic conference globally recognized in the area of natural language processing (NLP).
[Report] Part1 - Getting to know DarkBERT: A Language Model for the Dark Side of the Internet
DarkBERT is a transformer-based encoder model, based on RoBERTa. Encoder models represent natural language text into semantic representation vectors, which can be used for a multitude of tasks. DarkBERT is unique in that it was trained on dark web data, which allows it to outperform counterpart models on tasks of monitoring or interpreting dark web content.
[Press Release] NLP research paper regarding the dark web has now been accepted at NAACL 2022
We are thrilled to announce that our research paper (collaboration with KAIST) regarding the dark web has now been officially accepted at NAACL 2022!
[Product] New ASM+ module of Quaxar will be launched!
S2W's new ASM (Attack Surface Management) module of Quaxar will be launched soon.
[Notice] Learn more Quaxar on AWS market
From today, you can purchase S2W’s CTI solution, Quaxar through the aws marketplace.
[Product] Cyber threat intelligence solution, Quaxar (SaaS dashboard)
Leveling up your cyber threat intelligence team with Quaxar in detail
[Event] 1st Data Intelligence Webinar
You can download "the 1st S2W webinar
: For February" pdf file here.
[Event] SIS 2022. ON registration begins NOW.
Security Intelligence Summit (SIS) 2022. ON starts its registration officially!
[Event] Pre-registration of SIS(Security Intelligence Summit), 2022.ON
Pre-registration will begin on November 1 (Tue).