Argus analyzes behavior patterns, monitors activity in real time, and provides context-rich alerts to stop threats at the source.
Argus continuously ingests global threat feeds and matches them against activity in your environment. This ensures known threats are flagged immediately, so your team is never caught off guard.
Our machine learning models are trained to recognize unusual behaviors based on your organization’s baseline. From unauthorized access attempts to lateral movement, Argus detects what doesn’t belong and alerts you in real time.
Each alert includes detailed context about the affected asset, user behavior, timeline, and potential impact. This reduces noise, prevents alert fatigue, and accelerates triage and investigation.
Argus ensures continuous threat visibility by leveraging behavior analytics, real-time monitoring, and deep contextual intelligence. This enables faster decisions and more efficient incident handling without the overload of false positives.
From cloud workloads to on-premise servers, Argus keeps a real-time watch over all your assets. It analyzes user behavior, network traffic, file activity, and more to create a live threat picture that updates by the second. This constant visibility helps you react immediately to anything out of place.
Argus includes a built-in AI assistant that helps security teams interpret alerts and suggest next steps. It identifies the root cause of events, links them to known attack patterns, and provides actionable guidance so your team can move from detection to containment quickly.
Instead of flooding your SOC with irrelevant alerts, Argus prioritizes incidents based on severity and business impact. This helps your team focus on the threats that truly matter, reducing response time and stress.
Argus connects smoothly with your existing tools, including EDR, firewall, and SIEM solutions. It brings together different data sources into a unified threat detection engine that works with your infrastructure, not against it.
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