Social Links
Delivering Data-driven OSINT Tools for a Safer World

In the era of mass-digitization, people leave digital footprints of their identity, activities, and social interactions across the internet. That makes it easier for cybercriminals to target victims with persuasive scams and cyberattacks while staying behind the curtain. This is where open-source intelligence (OSINT) tools promise a way forward. They enable law enforcement agencies (LEAs) to collect, collate, and analyze information from a wide range of sources to build a detailed picture of criminals or organized crime networks.



Enter Social Links, a company at the forefront of enabling this. Social Links equips law enforcement and government agencies with robust OSINT solutions to help them extract, analyze, and visualize data across social media platforms, blockchain, and the dark web. This accelerates and increases the investigation success rate against crime, terrorism, and security breaches. The company leverages an innovative investigation approach that combines DNA profiling and established OSINT methods, enabling investigators to identify criminals based on their genealogy, physical features, and ethnic origin.

“Unlike our competitors, we cover the full cycle of investigations, from data extraction to data analysis, to automate manual investigations. As a result, law enforcement agencies can save about 110 hours per week and ensure a loss reduction of at least 23-percent by flagging questionable connections and their associated risks,” says Ivan Shkvarun, co-founder, Social Links. Social Links also helps customers to detect data breaches. Clients can upload information related to end-consumer emails and phone numbers to determine what information may have already been leaked on the dark web.

Going the extra mile, Social Links offers special training for clients formulated by its own experts and former law enforcement experts to help them better understand the current law enforcement landscape.

Social Links has perfectly aligned itself with the current cryptocurrency trends. This specific market segment is growing exponentially with a $3 trillion market capital and a compound average growth rate of more than 60-percent in 2021. Combined with other factors, such as merging cryptos in the orthodox financial market and commercial banking, and the popularization of crypto mixers as laundering tools, blockchain has become an indispensable resource for law enforcement and investigation bureaus alike. Social Links has introduced new features, including blockchain and cryptoanalysis, to track and trace digital assets and help its customers de-anonymize criminals and identify financial fraud and money laundering.



Beyond analyzing information from the dark web, Social Links also delves into corporate applications, such as Slack and Discord and games. Often, criminals communicate in-game chats and commit several illicit acts. As such, Social Links assists law enforcement agents in monitoring these game chats. The company is constantly adding new sources and functionalities to its products every week, month, and year.

Social Links has connected more than 500 open sources and more than 1,100 search methods to conduct investigations in a single app. No wonder more than 500 customers, including companies from the S&P 500 and law enforcement agencies from more than 50 countries, rely on its solutions. The company will soon launch a new product - the SL Private platform - that can be installed on-premise and has the highest range of search methods and private data storage capacity. It is developed for large enterprises and national security firms with a need for high compliance levels, security regulations, and increased storage capacity for sensitive data.

Not stopping there, Social Links is planning to release new AI/ML models, powered by a deep fake detector and speech recognition to offer better insights and increase the depth of investigations. Going forward, the company will introduce more cutting-edge solutions to resolve financial fraud and offer cryptoanalysis on a large scale.