Threat Detection

Overview#

Argus provides real-time threat detection powered by behavioral analytics, global threat intelligence, and machine learning models that identify security threats as they emerge. The platform detects insider threats, compromised accounts, zero-day attacks, and advanced persistent threats without relying solely on known signatures, enabling proactive security posture management.

Key Features#

• Behavioral Anomaly Detection - Dynamic baseline profiles for users, devices, applications, and network entities detect statistical deviations that indicate potential security threats, including subtle patterns that signature-based detection would miss.

• Global Threat Intelligence - Aggregated intelligence from multiple premium and open-source feeds enriches security events with global threat context, linking local observations to known threat campaigns and actors.

• Automated Threat Hunting - Pre-built hunting playbooks continuously search security telemetry for indicators of compromise and suspicious patterns, discovering hidden threats that bypass traditional detection mechanisms.

• Predictive Risk Scoring - Machine learning models forecast future attack likelihood, identify high-risk entities before compromise, and quantify risk to prioritize security investments where they will have the greatest impact.

• Automated Response - Configurable response actions execute automatically when threats are confirmed, from isolating affected systems to disabling compromised accounts and alerting stakeholders.

• MITRE ATT&CK Mapping - Detected threats are mapped to the MITRE ATT&CK framework, providing a common language for understanding attack techniques, assessing detection coverage, and communicating with security stakeholders.

How It Works#

Behavioral Analytics#

The platform analyzes multiple behavioral dimensions to establish baselines and detect anomalies:

• User Behavior - Authentication patterns, access patterns, communication patterns, work hour consistency, and privilege usage
• Entity Behavior - Device activity, application behavior, server resource utilization, and inter-system communication patterns
• Network Traffic - Traffic volume analysis, protocol usage, connection patterns, DNS analytics, and geographic anomalies
• Data Access - Query volumes, access patterns, privilege changes, data movement, and classification-aware monitoring

When behavior deviates significantly from established baselines, the system generates alerts with severity scoring, confidence levels, contributing factors, and recommended actions.

Threat Intelligence#

The platform integrates threat intelligence from multiple source categories:

• Commercial Feeds - Premium intelligence covering advanced persistent threats, malware, and cyber espionage
• Open Source Intelligence - Community-sourced indicators, malware blacklists, and phishing intelligence
• Government and Industry Sources - Sector-specific threat sharing organizations and government advisories
• Specialized Sources - Compromised credential databases, file reputation services, and internet exposure intelligence

Incoming security events are automatically enriched with relevant intelligence, including indicator reputation, threat actor attribution, historical activity context, and recommended response actions.

Threat Hunting#

Proactive threat hunting discovers threats that evade automated detection:

• Automated Playbooks - Pre-built hunting scenarios targeting reconnaissance, lateral movement, privilege escalation, persistence mechanisms, data exfiltration, and command-and-control communication
• Custom Queries - Flexible query capabilities enable security teams to test hypotheses against security telemetry data
• ML-Guided Hunting - Machine learning prioritizes anomalies, suggests hunt targets, clusters related events, and predicts high-risk time windows
• Investigation Workflows - Automated evidence collection, entity pivot analysis, timeline reconstruction, and impact assessment streamline the investigation process

Predictive Analytics#

Risk scoring enables proactive security management:

• Entity Risk Scores - Continuously updated risk scores quantify the likelihood of compromise for users, devices, applications, and network segments
• Breach Probability - Predictive models estimate the probability of compromise over configurable time horizons
• Attack Surface Monitoring - Continuous tracking of vulnerabilities, misconfigurations, compliance gaps, and threat exposure
• Peer Benchmarking - Risk comparison against similar entities identifies outliers and highlights best practices from low-risk peers

Compliance#

Threat detection supports compliance with:

• SOC 2 - Continuous monitoring and threat detection controls
• ISO 27001 - Information security event management and monitoring
• PCI-DSS - Intrusion detection and security monitoring requirements
• HIPAA - Security incident monitoring and detection
• NIST CSF - Detect function requirements including anomaly detection and continuous monitoring
• GDPR - Security monitoring and breach detection requirements

Integrations#

The threat detection platform integrates with leading security tools including SIEM platforms, endpoint detection and response (EDR) solutions, security orchestration (SOAR) platforms, and threat intelligence providers for unified security operations.

Availability#

• Enterprise Plan: Full threat detection suite included
• Professional Plan: Core threat detection included; advanced hunting and predictive analytics available as add-on

Last Reviewed: 2026-02-05