S2W Tracks Bitcoin Transactions to Expose International Crime Networks

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S2W introduced AI-based technology that integrates dark web, Telegram, and blockchain data analysis to track international crime on May 15. Seo Hyun-min, Director of S2W's Strategic Office, presented at the 'Ethiopia x K-Digital Connect 2026' forum held at DSRV headquarters in Gangnam-gu, Seoul, stating that the company analyzes Bitcoin transaction flows and exchange deposit/withdrawal records to track ransomware organizations and drug organizations. S2W is an AI-based cybersecurity company that listed on KOSDAQ in 2025 and operates as an Interpol official partner and a collaborating company with the National Intelligence Service's National Cyber Security Cooperation Center (NCSC).

S2W Integrates Dark Web, Telegram, and Blockchain Data for Crime Tracking

Seo stated that cyber crime no longer ends on a single platform and that tracking criminal organizations requires analyzing multiple data sources including dark web, messaging platforms, and blockchain together. S2W's core competitiveness is 'multi-domain analysis' technology that connects dark web posts, Telegram conversations, and blockchain transaction information into a single analysis framework to track criminal organization activities.

Seo provided an example where ransomware organizations sell stolen information on the dark web while publicly disclosing Telegram contact information and Bitcoin payment addresses. Investigative agencies can analyze dark web posts and Telegram activities, then track Bitcoin transaction flows to confirm fund movements.

S2W Tracks Bitcoin Transactions Through Exchange Hot Wallets

Seo explained that Bitcoin transactions are recorded on the blockchain and can be confirmed by anyone, but criminals attempt to hide fund flows by routing through multiple addresses or using mixing techniques. He stated that analyzing data from multiple domains together enables tracking up to the cash-out process at exchanges. Seo added that customer verification (KYC) and anti-money laundering (AML) systems play important roles in investigations during this process.

When a specific Bitcoin address is discovered in dark web posts, on-chain transactions for that address can be tracked. After confirming the process of moving through multiple wallets to exchange hot wallets, investigative agencies can identify actual criminals using KYC and AML information.

S2W Partners with Interpol and Microsoft Security Copilot

S2W developed 'DarkBERT', the world's first dark web-specialized large language model (LLM). The company determined that a language model specifically trained on dark web data was necessary when ChatGPT emerged, developed it directly, and presented it at the international AI conference ACL. S2W publishes research results at major global AI and cybersecurity conferences annually and participates as an official partner in Microsoft's security AI service 'Security Copilot'.

S2W also participates in AI-based cybersecurity cooperation discussions at the World Economic Forum (WEF) and the United Nations (UN). The company collaborates with government agencies in Indonesia, Japan, Singapore, and Greece, in addition to major domestic corporations and government agencies.

S2W Analyzes Stolen Credentials and Metadata for International Investigations

S2W uses this technology to track international crimes including ransomware, information-stealing malware (stealers), drug distribution, and child sexual exploitation material. The company analyzes account information and metadata leaked on the dark web to identify criminal organization activities and provides related information to international investigative agencies including Interpol.

In cases involving international cooperative investigations with Interpol, AI analysis technology is used to track international criminal organizations including child sexual exploitation crimes and drug organizations. Comprehensive analysis of dark web usage records, Telegram activities, metadata, and GPS information enables identification of criminals' activity locations and movement routes. S2W automatically analyzes metadata such as location information (GPS) remaining in photos directly taken and uploaded by criminals and provides this information to investigative agencies.

FAQ

What technology did S2W introduce on May 15?

S2W introduced AI-based technology that integrates dark web, Telegram, and blockchain data analysis to track international crime. Seo Hyun-min presented this technology at the 'Ethiopia x K-Digital Connect 2026' forum held at DSRV headquarters in Gangnam-gu, Seoul on May 15.

How does S2W track Bitcoin transactions used by criminals?

S2W tracks Bitcoin transaction flows from dark web payment addresses through multiple wallets to exchange hot wallets. When a Bitcoin address is discovered in dark web posts, the company analyzes on-chain transactions and uses KYC and AML information to identify actual criminals when funds are cashed out at exchanges.

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