Augur
ML-based threat intel platform that identifies attacker infrastructure preemptively
Augur
ML-based threat intel platform that identifies attacker infrastructure preemptively
Augur Description
Augur is a cloud-native threat intelligence platform that uses machine learning to identify and block adversary infrastructure before attacks occur. The platform analyzes terabytes of global Internet telemetry daily to track attackers in the wild and detect malicious infrastructure before it is weaponized against targets. The system operates without requiring hardware, agents, or traffic mirroring. It provides preemptive protection by identifying threats days, months, or years in advance of actual attacks. Historical examples include detecting infrastructure related to Log4J (90 days advance), Colonial Pipeline (365+ days), SolarWinds (240 days), and various other high-profile incidents. Augur maintains a low false positive rate of 0.007% when distinguishing between attackers and legitimate businesses. The platform can be deployed in less than a day and provides reports detailing identified threats, advance warning timelines, and metrics on alert reduction and SOC efficiency improvements. The solution is designed for enterprise environments seeking proactive cyber defense capabilities through threat intelligence that enables blocking of malicious infrastructure before it can be used in attacks.
Augur FAQ
Common questions about Augur including features, pricing, alternatives, and user reviews.
Augur is ML-based threat intel platform that identifies attacker infrastructure preemptively developed by Augur Security. It is a Threat Management solution designed to help security teams with Cloud Native, APT, Cyber Threat Intelligence.
