Unity Fraud Detection SDK

Each session is reviewed using data from the device fingerprinting solution. The SDK looks at device characteristics, user agent strings, IP addresses, and behavioral patterns to identify actions that may indicate fraudulent activities.

Some users may rely on automation tools, device spoofing, use of bots, or irregular behavior to bypass controls. The SDK helps identify these actions early to prevent broader issues. Risk scoring evaluates the session based on device fingerprints and user behavior signals. Higher scores indicate a greater chance of malicious activities or other potential threats.

With multiple data points considered together, Unity fraud detection becomes more accurate. This helps reduce false positives and improves the experience for individual users not involved in suspicious activity.

Each session is reviewed in context. Instead of responding to a single signal, the SDK evaluates user activity alongside device characteristics, user agent strings, and session behavior.

This approach supports fraud detection while reducing disruption for users. If activity appears different but doesn't match known patterns of abuse, the response can be adjusted accordingly.

Security measures can be applied when the risk level is clear, helping protect systems from malicious activities and potential threats. This keeps regular activity from being interrupted while addressing high-risk behavior.

Device Fingerprinting Across Platforms

The SDK supports both desktop and mobile device fingerprinting. Whether users access a game through a browser or a mobile app, the system consistently collects device fingerprints and related data.

Mobile device fingerprinting captures activity on Android and iOS devices in the same way as desktop systems. This makes it possible to recognize repeated actions from the same device across multiple access points.

Tracking device fingerprints across environments helps detect unusual activity, such as users switching between devices to avoid detection. This information supports Unity fraud prevention by showing how users interact with systems across platforms.

Tracking activity by device fingerprints allows Unity developers to take specific actions against repeated abuse without blocking everyone's access. Security teams can apply controls based on actual behavior, rather than broad assumptions.

The SDK helps identify activity tied to automation tools, repeated login attempts, or unusual session behavior. If malicious activities are detected, controls can be applied to reduce risk and keep systems secure.

The ability to act based on real signals helps protect users and reduce the impact of abuse without making systems harder for regular players to access.