Resecurity Risk

Resecurity Risk is a solution designed to detect and mitigate fraudulent activities, malicious bots, and account takeovers. According to the vendor, it is suitable for companies of all sizes, from small businesses to large enterprises. It is used by financial institutions, e-commerce companies, government agencies, online payment systems, retail organizations, healthcare organizations, and technology companies to protect themselves from emerging threats and ensure comprehensive visibility, detection, and analysis of digital risks.

Key Features

Superior Device Fingerprinting: Resecurity Risk utilizes proprietary device fingerprinting technology to accurately distinguish between authentic human users and bot attackers or infected devices. It maintains a global library of identified malicious patterns and metrics, ensuring accurate identification across all browsers and devices, including iOS and Safari.

Platform-Agnostic Mobile Software Developer Kit: Resecurity Risk offers a next-generation SDK that seamlessly integrates with fintech, banking, and e-commerce mobile applications and platforms. According to the vendor, it ensures maximal interoperability with all web browsers and operating systems, providing a seamless user experience.

Holistic Cyber Financial Intelligence: The solution streamlines regulatory consolidation between fraud compliance and anti-money laundering (AML) functions. It offers a Cyber Financial Intelligence (CyFI) compliance portal for integrating fraud prevention and AML monitoring systems. According to the vendor, it utilizes cognitive AI and machine learning algorithms for rapid screening and detection of anomalies in payment data sets.

Bot Protection: Resecurity Risk enables the detection and prevention of malicious machine-scripted activity in any network and scale. The vendor states that it has one of the largest bot data lakes in the world, safeguarding against machine-driven attacks across various platforms.

Behavioral Anomaly Detection: Resecurity Risk uses advanced machine learning techniques to flag user behavior anomalies based on historical use metrics and defined benchmarks. It provides immediate detection of suspicious activity and potential insider threats, enhancing incident response and proactive threat mitigation.

Dark Web Monitoring: Resecurity Risk provides visibility into the Dark Web to detect enterprise identifiers and potential data breaches. It offers rapid alerting for employee names, company logos, documents, photos, signatures, and more.

Fraud Detection: The solution offers real-time fraud detection and prevention capabilities. It can identify and block fraudulent activities, including account takeovers, malicious bots, and unauthorized transactions. According to the vendor, Resecurity Risk utilizes advanced algorithms and machine learning to detect patterns and anomalies indicative of fraudulent behavior, offering accurate risk assessment and alerts for potential fraud attempts.

Behavioral Analytics: Resecurity Risk collects and analyzes user behavior data to identify suspicious patterns and activities. It monitors user interactions across various channels, such as web and mobile apps, using cross-platform behavioral and environment metrics to detect indicators of compromise and profile user sessions. According to the vendor, this helps identify cross-channel attacks and fraudulent activities targeting third-party platforms.

Device Identification: Resecurity Risk accurately identifies devices used by visitors through superior device identification techniques. It associates users with previous instances of fraud, even when fraudsters attempt to hide their identity. According to the vendor, this feature helps prevent account takeovers and unauthorized access by identifying fraudulent devices, ultimately enhancing the user experience by improving security measures such as two-factor authentication.

Risk Intelligence: Resecurity Risk provides comprehensive risk intelligence to identify potential threats and vulnerabilities. It continuously monitors and analyzes data to detect emerging fraud trends and patterns, offering insights and recommendations to strengthen security measures and mitigate risks. According to the vendor, this helps organizations stay ahead of evolving fraud techniques and protect sensitive data.