TrustPath provides advanced fraud prevention through real-time risk checks during account actions like signup and login. The platform analyzes signals including email intelligence, device fingerprinting, and IP reputation to stop account takeovers and fake accounts automatically. Businesses enforce custom risk profiles via a single API call to maintain account integrity and security.
Funding
Funding not disclosed
Founders
Product
Problem
Online services face a high volume of fraudulent account activities, including disposable‑email sign‑ups, credential‑stuffing login attempts, and credential‑sharing that erode revenue, damage reputation, and increase compliance risk.
Solution
TrustPath delivers real‑time fraud prevention through a single REST API that evaluates every account event—registration, login, or session change—against a multi‑signal risk engine. The platform aggregates email intelligence, IP reputation, device fingerprinting, and behavioral analytics to compute a risk score and return an explicit decision (approve, review, decline) within milliseconds. Built‑in custom rule support lets operators tailor thresholds, allow/deny lists, and automated actions such as MFA prompts or account lockout. All decisions are logged for audit and compliance reporting, enabling continuous monitoring without adding friction for legitimate users.
Target Audience
Primary customers are SaaS providers, e‑commerce platforms, streaming and gaming services, and any online application that requires secure user registration and login at scale.
Features
- Email intelligence: disposable‑email detection, domain reputation, deliverability checks, and breach‑derived risk scoring.
- IP intelligence: real‑time reputation, proxy/VPN detection, datacenter identification, geolocation anomaly and impossible‑travel analysis.
- Device fingerprinting: browser and hardware attribute hashing, emulator/bot detection, and persistent device reputation across sessions.
- Behavioral analysis: velocity monitoring, session anomaly detection, and multi‑factor risk patterns (e.g., rapid‑fire login attempts, credential‑stuffing signatures).
- Account linking engine: graph‑based correlation of emails, IPs, and device fingerprints to expose fraud rings and multi‑account abuse.
- Custom rule engine: drag‑and‑drop rule templates, allow/deny lists, and programmable thresholds without code changes.
- Auto‑defense: automated blocking of brute‑force and dictionary attacks based on IP and device signals.
- API‑first integration: single POST endpoint returning decision, risk score, and triggered rule details; SDKs for major languages and webhook support.
- Compliance reporting: exportable audit logs with timestamps, risk factors, and remediation actions to satisfy PCI‑DSS, GDPR, SOC 2, and HIPAA requirements.