Deep & Dark Web
Monitoring

Connecting Hidden Signals into Intelligence

By connecting signals scattered across hidden channels, we read the context of threats that were once invisible.

Where Hidden Threats Emerge

Deep & Dark Web Monitoring connects data collected across hidden channels into a single body of intelligence, moving beyond isolated data points to analyze the relationships and context behind threats — enabling faster, more accurate response.

Market Needs & Client Challenges

Hidden Channels, Unclear Threats

Invisible Channels, Inconclusive Signals

Threats Beyond Visibility

There is no adequate way to check whether information related to an organization is circulating on hidden channels such as the dark web or Telegram.
Companies and institutions need a monitoring framework that can identify external threat signals early and respond proactively.

Exposed Data, Unclear Threat

Even when employee accounts or confidential data are circulating on external channels, it is difficult to quickly determine whether it is an actual breach or simply a post.
Externally exposed information can be exploited as an early clue for secondary crimes such as phishing, account takeover, ransomware, and financial fraud.

Limited Threat Actor Context

Even when related posts are found by keyword, there are limits to determining who the author is and whether they connect to other criminal networks.
Through contextual intelligence such as a threat actor's sales history, data samples, and attack tools, the threats that require an actual response must be accurately identified.

Solution Overview & Benefits

From Hidden Signals
to Actionable Threat Intelligence

Turning Hidden Signals into Actionable Intelligence

What is Deep & Dark Web Monitoring?

Deep and dark web monitoring is the activity of detecting and analyzing threat signals from hidden channels—the deep web, dark web, Telegram, and more—that are difficult to check with ordinary search engines. This makes it possible to visualize and continuously identify leaked information, signs of illegal trade, criminal signals, and threat actor activity.

Detect Hidden Signals Before Impact

Based on organization names, domains, accounts, key individuals, brand names, and incident keywords, it proactively detects leaked information and threat signs within hidden channels, supporting quick follow-up response before externally exposed information is exploited for crime.

Leaked Information DetectionHidden Threat Signal IdentificationExternal Exposure Monitoring

Track Threat Actors,
Understand Criminal Context

By organically correlating a threat actor's posting history, signs of illegal trade, and data samples, it cross-verifies the practical meaning of detected threats and their connection to organizational damage.

Threat actor analysisCriminal context understandingCross-verification

Enable Response, Investigation,
and Prevention

Based on comprehensively analyzed threat intelligence, it supports enterprises' breach incident response and law enforcement's securing of criminal leads. By comprehensively assessing the sensitivity of leaked assets and the risk level of threat actors, it presents a response direction suited to the organization.

Incident Response SupportInvestigative Lead SecuringThreat Prioritization Analysis

Proven Expertise & Operational Excellence

Connecting Threat Data,
Uncovering High-risk Threats

Intelligence That Connects Fragmented Data and Context

Hidden Channel Threat Coverage

Leaked information and threat actor activity across fragmented hidden channels are difficult to read for context through individual collection alone. With a broad data collection infrastructure and DarkBERT-based AI analysis, S2W connects separated data and activity histories to visualize the flow of threats.

Broad Threat Data Coverage
Securing threat data across hidden channels such as the deep web, dark web, and Telegram
Cross-connection analysis framework
Cross-analyzing organization names, domains, accounts, brands, leaked data, and threat actor activity
DarkBERT-based AI Analysis
Contextualizing signs of leaks and criminal activity

Intelligence-led Risk Assessment

The core of external threat monitoring is selecting, from vast amounts of data, the signals that require an actual response. Drawing on specialized CTI analysis capabilities, S2W assesses the credibility, sensitivity, and potential for spread of leak signs to prioritize the identification of high-risk threats.

Dimensional Risk Assessment
Risk assessment based on the credibility, sensitivity, and potential spread of detected threats
Practical Impact Analysis
Analysis based on threat actor activity context and leaked data samples
High-risk Signal Selection
identifying targets for immediate incident response (IR) and takedown

Hidden Channel Threat Coverage

Leaked information and threat actor activity across fragmented hidden channels are difficult to read for context through individual collection alone. With a broad data collection infrastructure and DarkBERT-based AI analysis, S2W connects separated data and activity histories to visualize the flow of threats.

Broad Threat Data Coverage
Securing threat data across hidden channels such as the deep web, dark web, and Telegram
Cross-connection analysis framework
Cross-analyzing organization names, domains, accounts, brands, leaked data, and threat actor activity
DarkBERT-based AI Analysis
Contextualizing signs of leaks and criminal activity

Intelligence-led Risk Assessment

The core of external threat monitoring is selecting, from vast amounts of data, the signals that require an actual response. Drawing on specialized CTI analysis capabilities, S2W assesses the credibility, sensitivity, and potential for spread of leak signs to prioritize the identification of high-risk threats.

Dimensional Risk Assessment
Risk assessment based on the credibility, sensitivity, and potential spread of detected threats
Practical Impact Analysis
Analysis based on threat actor activity context and leaked data samples
High-risk Signal Selection
identifying targets for immediate incident response (IR) and takedown