If you're looking for a solution that catches fraud and stops it without causing friction for legitimate users, Incognia is a strong identity option. It combines persistent device fingerprinting and indoor location intelligence to prevent fraud and protect the digital journey. The platform can identify users across multiple devices, even after factory resets, and spot anomalies like location spoofing and app tampering. With frictionless risk solutions, user verification and listing verification, Incognia can help reduce false positives and ensure a frictionless experience for legitimate users.
Another strong option is Sardine, a fraud prevention and compliance platform. Sardine gathers deep device intelligence and behavioral biometrics to spot fraud patterns, and it offers identity fraud prevention, account takeover, payment fraud and anti-money laundering solutions. Sardine's machine learning models are trained on more than 4,000 features, and it offers a no-code rule editor, network graph and instant ACH settlements to help risk operations run more smoothly and reduce false positives.
If you want to add AI-powered fraud decisioning to your business, Sift is a strong option. Sift helps businesses deal with fraud problems like account takeover and payment fraud with user-level signals across the user journey. Its products include Account Defense, RiskWatch and FIBR, all designed to reduce digital friction and help businesses grow safely while protecting customer trust and security.
Last, IBM Security Trusteer offers a cloud-based platform that uses AI and machine learning to authenticate customers and detect fraud in real-time. It offers features like real-time fraud detection, identity risk assessment and compromised device detection to ensure customers have a frictionless experience while reducing the risk of unauthorized access. The platform offers continuous digital identity assurance and a scalable, agile cloud platform to continuously assess user behavior for fraud risk.