✅ Title: How Much Dark Web Data Coverage Do You Provide?

1. Industry-Leading Dark Web Coverage

Coverage Across 80–90% of Major Channels

XARVIS monitors approximately 80–90% of active dark web ecosystems, including forums, marketplaces, ransomware leak sites, and Telegram-based underground communities. This coverage is not limited to publicly accessible channels, but also includes authenticated and closed networks. It reflects S2W’s advanced access capabilities and long-standing presence across high-risk platforms.

Long-Term Data Retention for Historical Tracing

XARVIS retains all collected data without deletion, enabling precise historical analysis. With over a decade of accumulated data, the system supports:

- Retrieval of deleted or modified posts
- Identification of threat actors who changed usernames
- Cross-analysis of reemerging actors based on behavioral history
 

2. Real-Time Collection and Automated Threat Detection

Immediate Detection of High-Risk Signals

XARVIS is built on S2W’s real-time data collection infrastructure. It continuously detects newly posted content, threat actor activity, and critical keyword mentions. High-risk content is automatically flagged and prioritized for analyst review.
 

Automation for Proactive Threat Response

This infrastructure reduces manual workload for security teams and enables rapid responses to emerging threats. Analysts can detect critical signals faster and act decisively within fast-moving threat environments.
 

3. Advanced Contextual Analysis Using DarkBERT

World’s First Language Model Trained on the Dark Web

XARVIS integrates DarkBERT, a language model specifically trained by S2W and KAIST on large volumes of dark web text. Unlike generic models, DarkBERT understands nonstandard spelling, slang, and multilingual hybrid content found in illicit environments. It empowers the following capabilities:

- Semantic Search: Finds threats beyond exact keyword matches, using context
- Toxic Language Detection: Flags hostile offers, extortion, and malware trade discussions
- Threat Actor Profiling: Groups actors by writing style, targets, and region
 

Recognized as a Landmark in Cybersecurity AI

DarkBERT was officially published at ACL (Association for Computational Linguistics), the world’s top NLP research conference. This milestone represents global peer validation of S2W’s leadership in applying domain-specific AI to real-world cyber threat environments.
 

Conclusion: From Collection to Analysis, XARVIS Enables Full-Spectrum Threat Intelligence

XARVIS combines real-time access, a decade of retained data, and a globally recognized AI model to offer an unparalleled threat intelligence solution. Designed to uncover both emerging and hidden threat actor behaviors, it delivers actionable insights for security professionals who require precision, depth, and speed in threat detection and response.
 

👉 Contact Us: https://s2w.inc/en/contact

*Discover more about XARVIS, in the details below.