If you're looking for a platform that offers device intelligence and user behavior analytics to prevent fraud and abuse, Accertify is an excellent choice. It provides a comprehensive digital fraud detection system that links identities across digital touchpoints, making it easier to recognize repeat customers and thwart fraudulent activity. The system uses hundreds of data points about devices, connections, and locations, along with machine learning algorithms to generate a robust, persistent device ID. This helps in identifying suspicious activity and bot behavior through keystroke dynamics, page navigation, and cursor movement tracking.
Another robust option is Sardine, which offers a fraud prevention and compliance platform designed to identify and prevent various types of fraud. It collects deep device intelligence and behavioral biometrics, including device fingerprints, browser-user agents, cell towers, IP addresses, and behavior patterns, to identify fraud patterns. Sardine uses machine learning models trained on more than 4,000 features to predict fraud and includes features for identity fraud prevention, account takeover, payment fraud, and anti-money laundering.
For a solution that emphasizes persistent device fingerprinting, consider Incognia. It recognizes users across multiple devices, even after factory resets, and detects anomalies such as location spoofing, root/jailbreak, app tampering, and emulator use. This platform is used across various industries, including food delivery, ride sharing, and financial services, to stop fraud and deliver a frictionless experience for legitimate users.
Lastly, IBM Security Trusteer offers a cloud-based information security platform that uses AI and machine learning to authenticate customers, detect fraud, and protect against malicious users across all channels. It includes real-time fraud detection, identity risk assessment, and compromised device detection, helping businesses to minimize the risk of unauthorized access and provide seamless customer experiences.