XARVIS
AI-powered Cybercrime Intelligence Platform
From Scattered Clues to Investigative Intelligence
XARVIS is an AI-powered security big data platform for public, government, and law enforcement agencies.
It provides integrated monitoring of data across diverse channels—including the dark web, Telegram, and social media—and connects scattered clues such as posts, files, images, identifiers, and virtual asset addresses.
Built on the large-scale, multi-channel data infrastructure S2W has accumulated, it analyzes the connections between threat actors and incidents, the pathways through which information circulates, and indicators of risk, delivering the intelligence needed for investigative and security decision-making.
Every Clue. Every Channel. One Investigative View
Security intelligence connecting every clue into a single investigative view
Cybercrime and security threats are difficult to grasp from a single channel or clue alone. XARVIS connects fragmented data into one investigative context, supporting the entire workflow—from exploring clues to analyzing relationships, reaching judgments, and responding.
Prioritized Threat Visibility
Unified visibility that surfaces high-risk threat signals first
Gains an integrated view of threat information from scattered channels such as the dark web, Telegram, and social media, and quickly identifies high-risk signals that need priority review.
Channel-by-channel searching and manual classification
DarkBERT-based automatic classification and integrated search to prioritize high-risk threat signals
Investigation-Ready Evidence
Securing evidence ready for investigative use
Preserves posts and files that are likely to be deleted or altered in their original state at the time of collection, and manages their change history alongside them, reliably securing the evidence needed for investigations.
Limited ability to secure originals after the fact and trace change history
Investigative grounds secured based on originals at the time of collection and their change history
Threat Actor-Centric Intelligence
Threat actor analysis connecting scattered clues
Connects scattered identifying clues such as nicknames, emails, virtual asset addresses, and activity records to analyze the relationships between actors and the context of their activity.
Manual matching of individual clues made it time-consuming to grasp relationship structures and related activity
Knowledge graph-based cross-analysis to comprehensively analyze actor relationships and activity context
Agentic Investigation at Scale
An AI agent that carries out complex investigative analysis
The Deep Research Investigator is an AI agent that supports investigations, linking search, graph analysis, and profiling to derive key clues and case context.
Investigators repeatedly performed function-by-function searches, data matching, and relationship analysis
The AI agent carries out multi-stage analysis aligned with the investigative objective, presenting evidence-based insights and follow-up leads
Built for Deeper Investigations
Major Functionalities of XARVIS
Hidden Channel Monitoring
Integrated monitoring across multiple channels
- Collects and classifies data across multiple channels such as the deep and dark web, messengers, and social media
- Monitors and detects high-risk signals based on conditions such as keywords, country, industry, crime type, and risk level
Chronological Browser
Timeline-based Browser
- Preserves posts and files in their original state at the time of collection
- Reviews deletion and modification history and the original on-screen context in chronological order
Search Engine
A search engine built for cybercrime investigation
- Searches posts, files, images, and identifiers across multiple channels in one place
- Performs precise searches using filters and operators tailored to crime type and investigative purpose
Graph Analysis
Graph-based relationship analysis
- Analyzes the relationships among identifying clues such as nicknames, emails, and virtual asset addresses
- Visualizes the relationship structure among actors, infrastructure, and incidents through the Evidence Board
User & Social Profiling
Threat actor and social profiling
- Builds actor profiles based on public profiles, usernames, and activity information
- Analyzes activity regions, targeted industries, language patterns, and account change history together
Crypto & Geolocation Intelligence
Virtual asset and location-based tracking intelligence
- Analyzes the relationships among virtual asset addresses, transaction histories, and exchange and wallet types
- Combines location and identifying clues from files and posts to grasp activity regions and movement patterns
End-to-End Investigative Intelligence
An intelligence flow that runs from gathering clues to investigation
01
Source Collection
- Automatically collects security data from multiple sources such as the deep and dark web, Telegram, and hacking forums
- Structures and accumulates unstructured data such as posts, images, attachments, and identifiers
02
Detection & Monitoring
- Detects threat signals in real time based on multidimensional conditions such as keywords, country, industry, and crime type
- Identifies high-priority, high-risk signals first, such as new domain registrations, information leaks, and illegal transactions
03
Clue Correlation
- Cross-analyzes fragmented, disparate clues such as nicknames, emails, virtual asset addresses, and IPs
- Grasps the full context and connection structure of an incident through knowledge graph-based data linkage
04
Threat Actor Profiling
- Analyzes an actor's activity trajectory by combining active hours, language patterns, and account change history
- Determines whether accounts belong to the same actor through cross-platform account correlation, and derives leads for tracking
05
AI-Assisted Investigation
- The Deep Research Investigator links search, graph analysis, and profiling to comprehensively analyze key clues and related evidence
- Organizes the flow of an incident and actor relationships and derives investigative insights and further leads for tracking
Law Enforcement
Tracking drug distribution networks on the dark web and Telegram
As the roles of selling, promotion, delivery, and collecting funds are spread across multiple accounts and channels, the overall flow of a drug distribution network never emerges from a single clue.
Monitoring slang and code words, correlating role-specific accounts, channels, and virtual asset addresses, and securing digital evidence
Analyzes drug-related slang, code words, and altered expressions, and integrates the collection of fragmented clues
Visualizes role-based organizational structure, account change history, and recurring activity patterns through knowledge graph analysis
Government & Public Sector
Early detection of hacking and data leak threats targeting public institutions
Claims of breaches and leak announcements spread quickly, but their actual relevance to an institution and their risk level can only be judged by looking at the targeted information, the pathways of spread, and related activity together.
Monitoring based on institution names, domains, and policy issues, analyzing circumstances related to threat actors along with targets and distribution channels, and prioritizing high-risk content
Automatically classifies threat content by threat actor and group, country, industry, and risk level
Detects threat activity aimed at key administrative infrastructure and public services early, supporting initial response and risk assessment
Defense & Military
Tracking the leak, sale, and compromise of defense secrets
Signs of defense-related leaks and sales are scattered across posts, sample files, accounts, and infrastructure, making it hard to judge their credibility and relevance all at once.
Monitoring posts selling defense secrets and access information, analyzing exfiltrated sample files, and tracking the links among attack infrastructure and virtual asset addresses
Continuously monitors signs of defense material leaks and sales across the deep and dark web and hacking forums
Provides grounds for assessing potentially state-backed threat activity through cross-analysis of digital clues such as posting accounts, files, and wallet addresses
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Industries We Serve
National Security
