Augur provides predictive threat intelligence that identifies and blocks malicious infrastructure weeks to months before attacks occur. By continuously analyzing over 3 TB of global internet telemetry—including BGP, DNS, and domain registrations—the platform can preemptively neutralize threats such as ransomware, supply‑chain exploits, and credential compromises, protecting organizations from emerging AI‑powered attackers.
Funding
$7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations rely on reactive security measures that detect threats only after malicious infrastructure is already active, leaving a window for attackers to compromise systems. Traditional threat intelligence struggles to keep pace with AI‑powered adversaries and cannot identify early‑stage infrastructure before it is weaponized.
Solution
Augur delivers predictive threat intelligence by continuously analyzing over 3 terabytes of global internet telemetry—including BGP activity, DNS resolution, domain registrations, and IP space changes—to detect early‑stage attacker signals. Its machine‑learning clustering and anomaly detection models map relationships among malicious infrastructure, enabling the platform to forecast and block threats weeks or months before they are used in attacks. The system generates automated, continuously updated blocklists and can trigger takedown actions, providing enterprises with preemptive protection against emerging campaigns. By maintaining a knowledge base of historical attribution patterns, Augur helps security teams neutralize tens of thousands of malicious IPs each month, reducing exposure to ransomware, supply‑chain, and other high‑impact threats.
Target Audience
Primary customers are enterprise security operations centers, SOC analysts, and network defense teams that require proactive threat mitigation against advanced, AI‑enabled adversaries.
Features
- Daily processing of >3 TB of global internet telemetry (BGP, DNS, domain registrations, IP changes) for early threat detection
- ML‑driven clustering and anomaly detection to identify emerging attacker infrastructure before weaponization
- Automated generation of predictive blocklists and integration with security controls for autonomous defense
- Continuous takedown actions and automated remediation of identified malicious IPs
- Knowledge base that maps attacker infrastructure relationships and historical attribution for context‑rich alerts
- Coverage of long lead‑time indicators, enabling detection of threats up to 300+ days before known incidents