Analyzes suspicious KakaoTalk messages and links using public data samples and rule-based risk scoring to classify scam types and generate safe action guides.
AI-powered threat verification across 6 channels: phone numbers, URLs, text messages, emails, documents, and QR codes. Analyzes threats against 10M+ intelligence records from FTC, FCC, URLhaus, ThreatFox, and community reports, returning risk scores, verdicts, and detailed signals.
Analyzes Korean DART (Financial Supervisory Service) public disclosures to detect unfair trading risk signals, enabling users to query and evaluate corporate risk through natural language.
Analyzes ambiguous Korean chat messages by interpreting nuance, emotional tone, and context, and suggests appropriate replies for social situations like apology, refusal, or setting boundaries.
Helps users prepare Korean neighborhood inconvenience reports by classifying issues, explaining evidence, and drafting neutral reports without submitting them.