QUAXAR
AI-powered Cyber Threat Intelligence Platform
Signal Stitching for Actionable Intelligence
QUAXAR is an AI-powered cyber threat intelligence (CTI) platform.
It brings attack surface management (ASM), digital risk protection (DRP), and threat intelligence (TI) together on a single platform, connecting scattered external threat signals such as asset exposure, information leaks, attack infrastructure, vulnerabilities, and threat actor activity. Through Signal Stitching-based analysis, it identifies attack paths and exploitable routes associated with an organization and delivers response priorities that reflect real-world attack likelihood and organizational impact.
Every Exposure. Every Threat. One Clear Priority.
Connecting every exposure and every threat into a single response priority
Attacks targeting enterprises unfold as a connected flow of exposed assets, leaked accounts, vulnerabilities, and threat activity. But because the signals are scattered, it is hard to quickly distinguish which ones carry the risk of turning into an actual attack.
QUAXAR connects these scattered threat signals to assess the likelihood of real-world attacks and response priorities.
Unified Threat Visibility
External Threat Signals, in a Single View
Manages asset exposure, information leaks, vulnerabilities, and threat activity—identified across ASM, DRP, and TI—on a single platform and analyzes them with a focus on their relevance to the organization.
Exposed assets, leaked information, vulnerabilities, and threat data were managed separately across individual solutions
Key threat signals relevant to the organization are managed together on a single platform
Signal Stitching Analysis
Connecting scattered threat signals into attack scenarios
Analyzes the relationships among exposed assets, leaked accounts, attack infrastructure, vulnerabilities, and threat actor activity to identify attack flows and exploitable paths that individual events alone cannot reveal.
Event-by-event analysis limited the ability to see attack flows and their interconnections
High-risk attack scenario analysis based on connected threat signals
Risk-Based Prioritization
Response priorities that reflect real-world attack probability
Analyzes TALON's expert analysis data alongside real-world exploitation cases, attack code, attacker activity, and organizational impact to inform response priorities.
Response priorities are set mainly around technical indicators such as CVSS and EPSS
Response order is determined by real-world attack probability and organizational impact
Actionable Intelligence
Intelligence ready for immediate use in operations and decision-making
Through an AI assistant and automated reports, it delivers the current threat landscape, priority items to review, and recommended response measures—supporting immediate use in security operations and decision-making.
Analysis results were interpreted manually, with response plans drawn up separately
Response measures aligned with the operational flow, and decision-making intelligence secured
Three Intelligence Domains. One Threat Context.
Major Functionalities of QUAXAR
Attack Surface Management (ASM)
- Identifies externally exposed assets such as domains, IPs, servers, and certificates
- Monitors signals of change, such as new assets, vulnerabilities, and certificate expirations
- Identifies priority response targets by correlating leaked accounts with exposed assets
- Runs CART automated attack simulation and validation, and monitors certificate expiration and validity
Digital Risk Protection (DRP)
- Monitors leaks of employee accounts and exposure of access information
- Detects brand impersonation, abuse, and signs of phishing
- Detects threat signals from ransomware, data leaks, and hidden channels
Threat Intelligence (TI)
- Provides detection rules such as IoCs and YARA
- Analyzes the relationships among threat groups, campaigns, attack infrastructure, and TTPs
- Provides vulnerability risk levels and response priorities based on TALON SCORE
End-to-End Intelligence Operations
An intelligence operations flow that runs from collection to setting response priorities and supporting execution
01
Data Collection
- Collects threat data from multiple sources, including externally exposed assets, leaked information, indicators of compromise (IoCs), vulnerabilities, and threat actor activity
- Structures and accumulates heterogeneous data such as assets, accounts, infrastructure, posts, and vulnerabilities
02
Detection & Monitoring
- Continuously detects external threat signals such as exposed assets, new vulnerabilities, account and card leaks, brand impersonation, and ransomware
- Identifies the threat signals that need priority review based on criteria such as relevance to the organization, risk level, and time of occurrence
03
Signal Stitching Analysis
- Cross-analyzes scattered threat signals such as assets, accounts, attack infrastructure, vulnerabilities, and threat actors
- Identifies attack flows, interconnections, and exploitable paths through knowledge graphs and multi-domain analysis
04
Risk Prioritization
- Risk assessment reflecting real exploitation cases, the existence of attack code, attacker activity, and organizational impact
- Vulnerability risk levels and response priorities based on TSS (Talon Severity Score)
05
Actionable Intelligence
- Automatically generates Actionable Playbooks through an AI assistant and automated reports
- One-click autonomous response via SIEM/SOAR integration, ready for direct use in security operations, with integration into major monitoring platforms
Manufacturing
Integrated attack surface management for overseas production facilities and global assets
As overseas subsidiaries, production facilities, partners, and online services grow, externally exposed assets become scattered across many environments and management blind spots widen.
Identifying scattered global externally exposed assets, prioritizing the review of unmanaged assets and vulnerabilities, correlating leaked accounts with exposed assets, and setting response priorities that reflect real-world exploitability
Provides integrated monitoring of externally exposed assets, shadow IT, certificates, and related vulnerability information scattered around the world
Correlates dark web leaked accounts with exposed assets to first identify the exposure points most likely to be exploited, and supports the response order for asset cleanup and vulnerability remediation
IT / Technology
Early detection of attack preparations on the dark web and Telegram
Attack information circulates quickly on the dark web and Telegram, but the threats that actually connect to an organization's exposed assets still have to be singled out.
Detecting company-related attack information and signs of access being sold, correlating exposed assets with threat information, analyzing attacker activity and organizational impact, and deriving priority review targets and response measures
Continuously monitors vulnerability exploitation information, attack tools, scan results, and signs of company-related information leaks circulating on the dark web and Telegram
Correlates detected threat information with the organization's externally exposed assets and vulnerability data to present the items most likely to be exploited and the priority response measures
Finance
Strengthening financial fraud response using leaked card and account data
The card and account data circulating on external channels vary in their actual response value depending on how recent they are, whether they are duplicated, and how relevant they are to the organization.
Monitoring leaked card and account data, analyzing the recency, duplication, and organizational relevance of the leaked data, prioritizing the information most likely to be exploited, and supporting response decisions in internal detection systems such as FDS
Continuously detects leaked card and account data circulating on channels such as the dark web and Telegram, and analyzes the characteristics of the leaked data and its relevance to the organization to select priority review targets
Supports the use of leaked data, most likely to be exploited as a basis for decisions in existing detection systems such as FDS, strengthening financial fraud response and customer account protection
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Industries We Serve
National Security
