{"id":33463,"date":"2026-05-29T17:24:15","date_gmt":"2026-05-29T17:24:15","guid":{"rendered":"https:\/\/www.complycube.com\/?p=33463"},"modified":"2026-05-29T09:56:52","modified_gmt":"2026-05-29T09:56:52","slug":"que-es-la-evaluacion-de-riesgos-de-dispositivos","status":"publish","type":"post","link":"https:\/\/www.complycube.com\/es\/what-is-device-risk-assessment\/","title":{"rendered":"\u00bfQu\u00e9 es la evaluaci\u00f3n de riesgos de los dispositivos?"},"content":{"rendered":"
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TL;DR: <\/strong>Device risk assessment evaluates device integrity, network signals, and behavior. Behind each and every digital session<\/strong>, device risk scoring looks at signals and turns it into an actionable device risk score. From there, teams can approve, challenge, or block access<\/strong>.<\/p>\n<\/div>\n\n\n

What is Device Intelligence?<\/h2>\n\n\n\n

Device intelligence refers to the technology layer that reviews a device in its entirety. In 2025, Cifas reported more than 444,000 fraud cases to the UK National Fraud Database, reinforcing the need for stronger device intelligence and fraud controls. The report refers to the connection and session behind a single digital interaction. Analyzing device integrity, network behavior, and usage patterns allows compliance teams to determine whether or not the device environment is real or fake.<\/p>\n\n\n\n

\"Diagram<\/figure>\n\n\n\n

Device intelligence<\/a> provides a significantly clearer view of the session before it continues for security teams. It checks for any device fingerprint mismatches, emulator use, and VPNs. It can also point to any automation, suspicious connection patterns, and signs that a device has. This is especially relevant when devices are compromised, modified, or exposed to vulnerabilities.<\/p>\n\n\n\n

Why Device Risk Assessment Matters<\/h2>\n\n\n\n

Device risk assessment is important because fraud does not always begin with a fake identity document. It can begin with factors such as an unknown device, a masked connection, or stolen credentials<\/a>. Even a tampered operating system or an emulator design to imitate a real user’s journey is a type of fraud.<\/p>\n\n\n\n

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Device fraud is not just a login problem, it is a device trust problem.<\/p>\n<\/blockquote>\n\n\n\n

Chief Technical Officer, Mohamed Alsalehi<\/a> goes on to say, “When firms assess device integrity, connection signals, and behavioral patterns together, device intelligence can spot suspicious sessions earlier and stop fraud before it reaches sensitive systems”.<\/p>\n\n\n\n

These risk factors can create gaps and expose customer data, internal resources, and regulated onboarding processes. For example, if firms only rely on passwords or basic user authentication, they may miss the difference in device-level warning signs that appear before fraud succeeds.<\/p>\n\n\n\n

\"Workflow<\/figure>\n\n\n\n

A strong risk management process focuses on likelihood or suspicious activities and the severity of its potential impact. For instance, a login attempt from a new browser may be low risk, while a session from a rooted device<\/a> using a VPN and unusual location data may be considered more critical.<\/p>\n\n\n\n

This is where device risk assessment becomes useful. It supports organizations by providing a structured way to evaluate device vulnerabilities, connection patterns, and session behavior. This can help define criteria of what allows a journey to complete, request further checks, or restrict access based on threats displayed.<\/p>\n\n\n\n

How Device Risk Scoring Works<\/h2>\n\n\n\n

Device risk scoring turns signals into a clear risk output. That is why a risk engine can evaluate device integrity, known vulnerabilities, and suspicious connection activity. This is based on a set of defined criteria. Each signal is scored for likelihood, severity, and potential impact. The device risk score is then calculated against set thresholds, helping teams classify a session as low, medium, or high risk. You can learn more here: The Evolution of the Risk-Based Approach in AML<\/a>.<\/p>\n\n\n\n

Often, the risk scores are deployed as a percentage, range, or a simple status. Administrators, fraud teams, and security personnel have a visible way to compare device trust across different sessions without relying on credentials alone.<\/p>\n\n\n\n

When compared with password-based authentication, device risk scoring provides a stronger description of session trust. Teams can verify whether the device presents normal behavior, suspicious indicators, or enough evidence to trigger alerts, extra checks, or access restrictions.<\/p>\n\n\n\n

Device Monitoring and Conditional Access for IT Teams<\/h2>\n\n\n\n

However, sometimes a device may appear low risk during onboarding and become suspicious later on. Device monitoring helps IT teams, security teams, and administrators evaluate how device trust changes across repeated sessions, login attempts, and account activity.<\/p>\n\n\n\n

Instead of relying on a one-time device validation check, teams can review changes in device integrity, location data, and network access. Additionally, they can look into usage patterns and permissions-based activity for more changes. These changes can reveal credential theft, phishing attempts or suspicious access from unknown devices.<\/p>\n\n\n\n

Conditional access polices<\/a> can then use the latest device risk score to decide whether to maintain, challenge, or block access. For example, an administrator may be able to set default thresholds that trigger alerts when a device moves from low risk to high risk. This helps firms keep trusted journeys and gives teams clearer documentation, stronger feedback loops, and better control over access decisions across sensitive systems.<\/p>\n\n\n

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Key Takeaways<\/h3>\n