Secure, post-compilation SDK, hashing and additional security measures block fraudulent install events, replayed events and rehashing before a single install or event is recorded.

Blocks IP addresses and SiteIDs identified as actively perpetrating fraud.

DeviceRank blocks attribution of clicks, installs and in-app activity from devices known to be fraudulent.

Analyzes click-to-install-time, click-to-install conversion rates and multi-touch contribution rates to identify and address aberrant distribution trends at the publisher and sub-publisher level.

Validates installs (on iOS) and revenue transactions (iOS and Android) with The App Store/Google Play.

AppsFlyer maintains an active bot signature database, blocking installs from both server-based and on-device malware based bots in real time. With over 1 trillion new datapoints generated every month, AppsFlyer's scale allows Protect360 to identify and block bots faster and more accurately.

As fraudsters have advanced, some have developed the ability to send click, install and in-app event reports.

Protect360 automatically analyzes behavioral patterns and identifies non-human behavioral patterns. These non-human behavioral anomalies are flagged and further validated by our data scientists. Sub-publishers trafficking in this non-human traffic are automatically cut off.

This proprietary platform allows marketers to define when installs should not be attributed based on a number of parameters, including fraud data. Includes the ability to define custom CTIT thresholds per app, region, partner or campaign. All settings are fully transparent to networks.

Notifies the right members of your team via email, Slack or the AppsFlyer mobile app when specific events or thresholds are met, such as a high concentration of, or a large number of new devices based on DeviceRank^TM ratings.

Machine learning continuously updates the Protect360 platform. Fraud blacklists, DeviceRank ratings, bot signatures and behavioral anomalies are updated based on over 35 billion new data points collected daily. Automatically blocks known fraud, and flags aberrant trends for further analysis by our data scientists.

Detailed reporting on all fraud blocking, savings and activity in the dashboard, as raw data and via APIs. Account-level reporting provides cross-app savings and insights, with the option to dive deeper by app, geo, partner, campaign and more.

Dedicated fraud dashboards allow advanced marketers to dive even deeper into the data behind their fraud protection. Marketers can even provide their ad network partners with access to a full fraud analysis of their traffic, so networks can improve their traffic.