{"best_for":["Neo banks","Challenger banks","eWallets","Crypto firms","Financial institutions"],"citation":{"dataset":"aitoolsforbusiness-agent-tool-export","directory_tool_url":"https://aitoolsforbusiness.ai/paygilant","json_profile_url":"https://aitoolsforbusiness.ai/data/tools/paygilant.json","markdown_profile_url":"https://aitoolsforbusiness.ai/data/markdown/tools-md-033.json","schema_version":"1.4.0","suggested_citation_label":"AI Tools for Business: paygilant (https://aitoolsforbusiness.ai/paygilant)"},"features":["Device DNA Fingerprinting: Creates a unique ID for devices by analyzing attributes like model, OS, IP, and geolocation to identify suspicious hardware.","Behavioral Biometrics: Passively monitors touch time, finger velocity, scrolling pace, and typing patterns to identify the user.","Transaction Behavioral Maps: Uses machine learning algorithms to map a user's specific purchasing patterns and compare them against risk zones.","Multi-Checkpoint Risk Scoring: Assesses risk at different stages of the user journey, including registration, login, and adding payment methods.","App Interaction Monitoring: Analyzes how a user navigates the application to determine if the behavior is consistent with a legitimate user.","User Data Analysis: Analyzes on-device information, such as contact lists and call logs, to identify indicators of fraudulent account origination."],"freshness_status":"fresh","name":"paygilant","pricing_note":"Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.","pricing_url":null,"primary_category":"Security","profile_last_verified":"2026-06-05T21:56:21.127Z","secondary_categories":[],"short_description":"Paygilant provides a fraud prevention solution using device fingerprinting and behavioral biometrics for financial institutions and fintechs.","slug":"paygilant","sponsorship_status":"none","url":"https://aitoolsforbusiness.ai/paygilant","use_cases":["New Account Opening Fraud Detection: Analyzing device and user data during registration to help identify fake or stolen identities used to open mule accounts.","Account Takeover Prevention: Monitoring for unusual device attributes or behavioral changes that may suggest a fraudster has taken over an account.","Pre-Transaction Risk Assessment: Using behavioral maps and bio markers to score a transaction as risky or safe before funds are moved.","SIM-Swap and Payment Fraud Monitoring: Observing the user journey and device environment to help detect unauthorized access via SIM-swap or stolen payment methods."],"website_url":"https://paygilant.com/"}