Fake Account and Bot Detection
We can detect fake accounts and botnets at scale. We’re constantly improving our machine learning models by acquiring and analyzing new botnets as soon as they hit dark web marketplaces. We’ve detected some of the largest botnets on twitter.
Coordinated Activity Detection
Attackers mobilize and coordinate on private chat groups and imageboards before launching an attack on popular social networks. We can detect these coordinated activities before they’ve gained steam.
Contextual Anomaly Detection
Social media platforms focus on detecting collective anomalies, this means that they’re only good at detecting spam. We focus on contextual anomalies: behavior that’s anomalous to a particular topic, enabling us to detect disinformation attacks.
Authorship attribution detection
The way people write leaves a linguistic fingerprint. By using advanced natural language processing techniques, we can identify if one person is behind multiple social media accounts.