Best User and Entity Behavior Analytics (UEBA) Software - Page 4

Experian Account Takeover (UK)

Experian's Account Takeover (ATO) service is designed to protect businesses and their customers from the escalating threat of account takeover fraud. As digital interactions increase, so do opportunities for cybercriminals to exploit vulnerabilities, leading to unauthorized access to various accounts, including banking, retail, and social media. Experian's comprehensive ATO solution offers a multi-layered defense to detect and prevent such fraudulent activities. Key Features and Functionality: - Enhanced User Profiles: Utilizes device intelligence technology to build detailed profiles of users' typical activities, aiding in the identification of anomalies. - Accurate Fraud Detection: Employs behavioral biometrics to analyze cognitive and behavioral patterns, enhancing the detection of suspicious activities. - Risk Alerts: Incorporates known fraud checks to flag accounts or devices with previous high-risk indicators. - Optimized Decision Making: Applies machine learning algorithms to assess login attempts, distinguishing between legitimate users and potential fraudsters. - Unified Access: Provides a single access point for monitoring customer interactions, ensuring consistent security measures across platforms. - Proactive Defense: Identifies emerging fraud vectors and develops strategies to mitigate them, reducing costs associated with false positives. - Seamless User Experience: Ensures that security measures do not disrupt the customer journey, maintaining a smooth and invisible protection layer. - Trustworthy Interactions: Fosters mutual trust between businesses and customers by safeguarding against fraud attacks. Primary Value and User Solutions: Experian's ATO service addresses the critical need for robust online security in an era where account takeover incidents have surged by 34% in recent years. By implementing this solution, businesses can effectively protect their customers from unauthorized access, thereby preserving customer trust and minimizing financial losses. The service's proactive and comprehensive approach ensures that organizations stay ahead of evolving fraud tactics, providing a secure and seamless online experience for users.

Experian Behavioural Biometrics & Device Intelligence (UK)

Experian's Behavioural Biometrics and Device Intelligence solution is designed to enhance fraud detection and prevention by continuously monitoring user interactions and device attributes throughout the customer journey. By analyzing behavioral patterns and device characteristics, this solution helps businesses distinguish between legitimate users and potential fraudsters, thereby reducing fraud losses and improving compliance with regulatory requirements. Key Features and Functionality: - Continuous Monitoring: The solution observes user behavior and device signals in real-time, from account opening to ongoing account management, enabling early detection of suspicious activities. - Behavioral Biometrics: Analyzes user interactions such as typing patterns, mouse movements, and navigation habits to identify anomalies indicative of fraudulent behavior. - Device Intelligence: Assesses device attributes, including operating system, device fingerprinting, and geolocation, to detect inconsistencies and potential risks. - Integration with CrossCore: Delivered through Experian's CrossCore platform, offering a unified view of fraud risk and seamless integration with existing fraud prevention tools. - Machine Learning Models: Utilizes supervised machine learning to optimize fraud detection while minimizing false positives, enhancing decision-making accuracy. Primary Value and Problem Solved: Experian's Behavioural Biometrics and Device Intelligence solution addresses the growing challenge of sophisticated online fraud by providing a multi-layered defense mechanism. It enables businesses to: - Enhance Fraud Detection: Identify and prevent complex fraud schemes, including account takeovers and identity theft, by analyzing behavioral and device-related anomalies. - Improve Customer Experience: Offer a frictionless user experience by passively monitoring interactions without additional authentication steps, reducing customer frustration. - Ensure Regulatory Compliance: Support compliance with Know Your Customer (KYC) and Anti-Money Laundering (AML) regulations by providing comprehensive insights into user behavior and device usage. - Reduce False Positives: Leverage advanced analytics to accurately distinguish between legitimate users and fraudsters, minimizing unnecessary disruptions for genuine customers. By integrating behavioral biometrics and device intelligence, Experian empowers organizations to proactively combat fraud, safeguard customer trust, and maintain regulatory compliance in an increasingly digital landscape.

Fasoo RiskView

Fasoo RiskView (FRV) is a user and entity behavior analytics (UEBA) solution that helps organizations identify, assess, and prioritize security risks related to unstructured data usage. It is designed for security, copliance and IT teams seeking to identify abnormal behaviors and potential data exposure by analyzing file usage patterns. FRV leverages comprehensive logging and metadata collected through Fasoo's security platform to map how sensitive documents are access, shared, printed, or transferred. Rather than relying on traditional DLP-based alerts or endpoint monitoring, FRV provides a contextual understanding of file interactions based on user identity, file classification, and organizational hierarchy. FRV is used to support insider threat management, security audits, and data protection strategy optimization. It is particularly suited for organizations managing sensitive business data. By visualizing document flows and usage anomalies through an intuitive dashboard, FRV allows stakeholders to make informed decisions on security policy adjustments, access rights, and incident response priorities. Key Features: - Detect Event Anomalies: FRV detects event anomalies, such as logins with user IDs of former employees, a given user logging in from multiple locations simultaneously, or unauthorized users retaining an excessive numbers of sensitive files. - Monitor File-based Risks: FRV monitors file based risks, such as unauthorized users' attempts to decrypt confidential files. - Monitor User-based Risks: FRV monitors user based risks, such as decrypting files more frequently than usual, printing more files than usual after regular business hours, or sending files to external recipients more than usual. FFasoo RiskView applies sophisticated rule-based modelling to data sources to establish normal patterns of behavior and flag supicious activities that indicate sufficient risk to merit concern and potential intervention by business management.

Fortscale

Detect and Eliminate Threats with User Behavior Analytics

Gordon Workforce Risk Management

Gordon Workforce Risk Management identifies, scores, and reduces the cybersecurity risk introduced by employee behavior across an organization, combining phishing simulation data, security awareness training outcomes, and behavioral signals into a single, continuously updated risk score for each employee. Rather than treating training completion as the measure of success, the platform tracks actual behavior change over time, whether an employee who clicked a phishing simulation six months ago still exhibits high-risk patterns, which departments carry disproportionate risk, and which individuals need targeted intervention versus scheduled training. Each employee receives a dynamic risk profile that updates based on their interactions with simulations and training modules, as well as reported threats. Administrators can configure automated training assignments triggered by risk thresholds, so employees who fail a simulation or show declining scores receive relevant, role-specific content immediately without manual admin intervention. Training modules are short-form and mapped to the specific threat category that triggered them, rather than delivering generic compliance content. The platform automatically syncs employee directories from Microsoft 365 and Google Workspace, eliminating the need to manually upload updated staff lists. Reporting surfaces organisation-wide and department-level risk trends in plain-language dashboards designed for both security teams and non-technical stakeholders, including HR, legal, and executive leadership. Gordon Workforce Risk Management integrates with Microsoft 365, Google Workspace, Slack, and common SIEM and HRIS platforms via API and webhooks. Findings map to SOC 2, ISO 27001, NIST CSF, and HIPAA control requirements for compliance reporting.

Graboxy

Graboxy offers robust protection against unauthorized access by integrating three different modules: Typing and Cursor Movement biometrics: Graboxy monitors how users type and move their cursor in real-time, creating unique biometric profiles based on these behaviors. Device Fingerprinting: To identify and validateiter devices. These modules can operate independently and can be combined with existing security systems. Graboxy evaluates user behavior against biometric profiles in real time. If a user's Identity Score drops below a set threshold, it flags the session as suspicious and issues an "Unauthorized User" alert. Suspicious user sessions can be locked out or require additional multi-factor authentication to regain access. How does Graboxy work? Step 1 We use our open-source JavaScript to gather the user's cursor movement and typing data, as well as other metadata, to create a comprehensive biometric profile. Step 2 The anonymized data is securely sent to our servers, where we analyze the dynamic characteristics of cursor movements and typing patterns. Step 3 Once enough data is collected, our deep-tech adaptive algorithms build unique biometric profiles. Step 4 The system compares the user's real-time behavior patterns with their biometric profile and determines a risk score (“Identity Score”), updated several times a minute. Step 5 When a user's risk score drops below the threshold, Graboxy flags the session as suspicious, and an "Unauthorized User" alert is sent out. Step 6 Flagged users can be locked out or re-verified using different multi-factor authentication methods. Silent 2FA and Transaction Authorization Graboxy's Silent 2FA solution revolutionises transaction approval by invisibly authenticating users in the background using biometric confidence scores. With Graboxy, financial institutions and payment providers can eliminate the need for costly SMS codes or cumbersome device switching, providing a frictionless user experience while ensuring robust security measures are in place. Graboxy as Silent 2FA - Banking Use Case We conducted a pilot with a major European bank involving 1.2 million users to test Graboxy as aSilent 2FA solution. The impressive results showed a fraud detection accuracy of 97% and an 85% reduction in costs associated with one-time passwords sent by SMS. Graboxy seamlessly authenticates users in the background using biometric confidence scores, eliminating the need for cumbersome SMS codes and providing a smoother, more secure user session.

Intruder Detection

Actuate's AI Intruder Detection software transforms existing security cameras into intelligent monitoring systems, significantly reducing false positives and enhancing operator efficiency. By leveraging advanced artificial intelligence, it accurately identifies unauthorized individuals in restricted areas without the need for additional hardware, ensuring swift and precise threat detection.

Kntrol

Kntrol is an endpoint security platform that protects businesses from internal and external threats by monitoring user activity, controlling devices and applications, and providing real-time alerts with detailed reports. Supporting Windows, macOS, Linux, and virtual environments, it delivers a scalable, zero-trust solution to safeguard data and ensure compliance.

LTS Secure UEBA

In the world of cyber security, security teams are trending away from using prevention-only approaches, according to a 2018 Gartner report called Market Guide for User and Entity Behavior Analytics. As security teams shift toward balancing cyber threat prevention with the newer detection and incident response (IR) approaches, they are increasingly adding technologies like user and entity behavior analytics (UEBA) to their conventional SIEMs and other legacy prevention systems.

Maro

Maro builds a cognitive security platform that provides a lightweight, fast-to-deploy browser extension, enabling real-time behavioral controls without relying solely on training or detection.

Risk Fabric

Risk Fabric enables stakeholders across the business to prioritize their remediation activities and direct their limited resources at the risks that matter most.

SecureIdentity IRAD

Built upon artificial intelligence, SecureIdentity IRAD evaluates the user as an ongoing process and will detect any unusual activity or interaction in the user’s actions. This provides real time detailed analysis of the user interaction and allows risk scoring to be applied and subsequent security policies, to deal with detected anomalies.

Staffcop Enterprise

All-in-One Solution for Insider Threat Management and Employee Monitoring. Staffcop is a groundbreaking solution that integrates Insider Threat Management with robust employee monitoring and remote administration features. Positioned at the intersection of security and performance, Staffcop offers a comprehensive set of functions to protect company data and oversee employee activities. Utilizing UAM, UEBA modules, OLAP technology, and pre-built or custom dashboards, Staffcop aids enterprises, SMBs, and government entities in reducing information security risks and enhancing workforce efficiency on Windows, Linux, and macOS platforms.

Average Rating: 4.3/5.0

Total Reviews: 3

submotion

Submotion gives you an easy overview of who has access to which systems. The central view in Submotion gives you a spreadsheet-like view of your team and services. This makes it quick and easy to see who has access to what.

Average Rating: 5.0/5.0

Total Reviews: 1