[2026 Latest Edition] What Are the Methods for Anti-Social Force Screening? Overview and Importance of Anti-Social Force Screening | Blog

What Is an Anti-Social Force Check?

An anti-social force check is a critical process for companies to verify that business partners or associates are not affiliated with anti-social forces. Engaging with such entities unknowingly increases the risk of becoming involved in illegal activities, which can severely damage corporate reputation and undermine sound business operations.

Furthermore, it is an essential measure to maintain trust and ensure business continuity by preventing the flow of funds to anti-social forces.

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Timing for Anti-Social Force Checks

Ideally, Anti-Social Force Checks should be conducted before initiating any new business relationship. Once a transaction begins, terminating the relationship can be difficult, potentially increasing your risk exposure.

Furthermore, periodic checks after the start of a business relationship are vital. Specific timing includes contract renewals, IPO screenings, changes in corporate officers, and new hiring. Conducting continuous checks allows you to mitigate risks proactively.

Common Anti-Social Force Check Methods Used by Other Companies

Common anti-social force check methods often utilize the following information sources, combining them to perform risk assessments:

1. Newspapers, TV, and Web Media

Verify whether there are any reports of anti-social involvement from various media outlets, including national newspapers, local papers, industry journals, and news websites.

2. International Information

Consult the US OFAC (Sanctions List) and US BIS (Export Administration Regulations) to confirm whether the business partner is subject to international sanctions.

3. Central Government and Municipal Information

Check whether business partners have received administrative sanctions by referencing information on administrative actions, suspension of eligibility for bidding, and sanctions lists.

4. Reputation on SNS and the Web

Investigate negative feedback on social media and review sites to identify any signs of anti-social involvement or potential risks.

uSonar's Anti-Social Force Check and Unique Caution Flag Function

In addition to standard check methods, uSonar's anti-social force check function utilizes unique data sources and AI technology to achieve comprehensive checks that other tools cannot provide.

While other anti-social force check tools focus primarily on news reports and social media data, uSonar leverages a caution flag function to identify risks based on deeper, more comprehensive data.

Features of uSonar's Caution Flag Function

1. Commercial Registration Data

uSonar maintains all commercial registration data, including not only representative information but also details on corporate officers. We manage trade names, head office locations, and histories of officer changes to discover risk factors early.

2. Corporate Database LBC

We identify companies with high anti-social risks based on 12.5 million records, including information on vacated locations and related companies that cannot be tracked via corporate numbers alone. This allows for comprehensive coverage of risks that are difficult to find in general databases.

3. Over 30 Years of Newspaper and News Data

uSonar holds a vast archive of news data spanning over 30 years, enabling high-reliability risk assessments for companies suspected of having ties to anti-social forces.

4. Other Corporate and Consumer Databases

We have established a system to verify past behavioral history related to anti-social forces by detecting unique corporate search logs, analyzing rare officer names, and utilizing 7.32 million past magazine articles.

For example, the moment a company is registered in a Salesforce account or lead object, it is possible to check on the spot whether it is a company of concern, such as an anti-social entity.

5. AI-Driven Risk Prediction and Verification Research

AI analyzes long-accumulated corporate attribute data to predict risks. Furthermore, our specialized research department conducts verification investigations to enhance the accuracy of the information.

This high-precision verification process combining AI and our research department is the hallmark of uSonar's anti-social force checks.

These features enable the identification of affiliations and connections between risky companies, allowing for a rapid response to entities with elevated anti-social risks.

Comparison with Other Anti-Social Force Check Tools

While other tools are useful for anti-social force checks, most are limited to analyzing news reports and negative information on social media.

uSonar further enhances the accuracy of risk determination by combining commercial registration data, corporate databases, consumer databases, and over 30 years of news data with AI-driven risk prediction. uSonar holds a competitive advantage in data networks and analytical capabilities, enabling risk detection based on deeper insights.

Response When Feeling Suspicious and Points to Note for Anti-Social Force Checks

If involvement with anti-social forces is suspected, it is recommended to consult with specialized institutions such as the police, centers for the elimination of organized crime, or legal counsel to take appropriate action. Caution is particularly necessary when suspicious behavior is observed, such as requests to remove organized crime exclusion clauses during contract negotiations.

Additionally, anti-social force checks should be conducted not only before starting a transaction but also on a continuous basis, such as every six months, to improve the accuracy of risk management.

Summary

Anti-social force checks are a vital initiative to protect corporate reputation and ensure business continuity. While general anti-social force check tools are useful, uSonar's caution flag function provides comprehensive and highly accurate risk determination through unique data sources and AI analysis.

Leverage uSonar's anti-social force checks to build a highly reliable transaction foundation and prevent risks before they occur.

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