SDK + authentification par hachage

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.

Automated Protection Against

Les attaques Man-In-The-Middle

Les postbacks rediffusés

Listes noires de SiteID et d'IP

Blocks IP addresses and SiteIDs identified as actively perpetrating fraud.

Automated Protection Against

Fraude aux clics et aux installations provenant de simulateurs basés sur serveur

Sous-éditeurs perpétrant activement des fraudes


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

Automated Protection Against

Fraude aux clics et aux installations provenant de fermes d'appareils

Devices identified as part of device farms.

Device farms running DeviceID Reset Fraud

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Analyses de CTIT, de conversion et multitouch

Analyse le click-to-install-time, les taux de conversion click-to-install et les taux de contribution multitouch pour identifier et remédier aux tendances de distribution anormales au niveau éditeur et sous-éditeur.

Automated Protection Against

Validation d'installations et de reçus

Valide les installations (iOS) et les transactions de revenus (iOS et Android) avec l'App Store et Google Play.

Automated Protection Against

Les évènements de revenu frauduleux


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.

Automated Protection Against

Server-based bots

Malware-based bots and botnets

Behavioral anomalies

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.

Automated Protection Against

Advanced fraudsters sending non-human traffic

Règles de validation

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.

Automated Protection Against

Mismatched geo or app versions

Alertes en direct

Notifie les membres appropriés de votre équipe par e-mail, message Slack, ou via l'application mobile AppsFlyer quand des évènements ou des seuils spécifiques sont rencontrés, comme une concentration élevée ou un grand nombre de nouveaux appareils, sur la base des classements DeviceRankTM.

Automated Protection Against

Emerging sources of fraud

Machine Learning

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.

Automated Protection Against

Protège contre les sources de fraude émergentes et accélère la protection de la plate-forme contre les nouveaux types de fraude.

Fully Transparent Reporting

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.

Protège contre

Uncertainty about the ROI of your fraud investments

Les longues négociations de rapprochement

The transparency challenges of fraud blocking