Callsign provides an AI‑driven platform that continuously authenticates users through behavioral biometrics, device fingerprinting, and telco data, generating real‑time fraud scores. Its low‑code orchestration layer enables security teams to deploy dynamic interventions such as step‑up authentication or transaction blocking via standard APIs, supporting password‑less MFA and compliance frameworks for financial and digital commerce applications.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations face increasing fraud threats such as account takeover, social engineering, synthetic identities, and bot attacks, which undermine user trust and regulatory compliance. Traditional authentication methods relying on passwords and OTPs add friction and are vulnerable to credential compromise.
Solution
Callsign delivers a unified platform that combines an AI‑driven Intelligence Engine with an Orchestration Layer to provide continuous, passive authentication and real‑time fraud mitigation. The Intelligence Engine aggregates behavioral biometrics, device fingerprinting, and telco data, applying ensemble machine‑learning models to positively identify users and detect anomalous activity. The Orchestration Layer lets security teams configure dynamic interventions—such as step‑up authentication or transaction blocking—through a low‑code drag‑and‑drop interface. An Authentication Suite offers multi‑factor options and password‑less login while preserving a seamless user experience. The platform integrates via standard APIs into existing web, mobile, and network environments and supports compliance frameworks (e.g., PSD2, KYC/AML). All data processing follows privacy‑first principles with encryption and role‑based access controls.
Target Audience
Primary customers are financial institutions, fintech platforms, digital commerce providers, and enterprise IT teams that require secure, low‑friction authentication and robust fraud prevention across web, mobile, and network access points.
Features
- Behavioral biometrics engine that continuously profiles user interactions for passive identity verification.
- Cross‑browser device fingerprinting and telco intelligence to enrich identity signals with location and network data.
- Ensemble machine‑learning models that combine multiple data sources to generate high‑confidence fraud scores.
- Drag‑and‑drop Orchestration UI for configuring real‑time dynamic interventions without code changes.
- API‑first integration layer supporting REST/GraphQL endpoints for seamless embedding into legacy and cloud applications.
- Multi‑factor authentication suite including password‑less, OTP, and risk‑based step‑up challenges.
- Built‑in compliance modules for PSD2/SCA, KYC/AML, and audit logging with configurable policy rules.
- Cloud‑native, horizontally scalable architecture with role‑based access control and end‑to‑end encryption.