Detection Rules Based on MITRE ATT&CK

Security Detection & SIEM

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Security Analytics & Incident Detection

Detecting security events in logs

1

Infrastructure, Applications, Endpoints

Events from infrastructure, applications, cloud, endpoints, and network are centrally collected and analyzed. This creates a comprehensive foundation for security monitoring, threat detection, and incident response.
2

Detection Rules according to MITRE ATT&CK

Predefined and customizable detection rules identify known attack patterns and techniques. Many rules are based on the MITRE ATT&CK matrix and systematically cover typical attack vectors.
3

Automated Threat Detection

The Elastic Detection Engine continuously analyzes event data and automatically detects suspicious activities. Security events are identified in real time and reported to security teams.
4

Integration of Sigma Rules

Standardized Sigma detection rules can be translated into Elastic detection rules and used directly. This allows community-developed detection logic to be quickly adopted and integrated into SIEM analyses.
5

Detection Engineering as Code

Detection rules can be managed, tested, and versioned as "Detections as Code." This enables security rules to be developed, tested, and continuously improved in an automated manner.
6

Supported IR Processes

Detected security events can be analyzed, documented, and tracked in a structured way. This provides security teams with a clear basis for coordinated incident response processes.

Security & Detection

  • Real-time Event Correlation: Real-time analysis and correlation of security events for the rapid detection of complex attack patterns across large volumes of log data.
  • Machine-learning-based Anomaly Detection: Identification of unusual activities and potential threats through machine-learning-supported behavioral analysis.
  • Security Analytics & Threat Detection: Advanced security analytics for detecting suspicious activities and security-relevant events in hybrid IT environments.
  • Advanced Alerting & Incident Integration: Advanced alerting mechanisms and integration into incident management and security workflows.
  • Enterprise Security Controls: Advanced security features such as encryption of data at rest, enterprise authentication, and single sign-on.
  • Scalable SIEM Platform: Support for large data volumes through distributed Elastic architectures, cross-cluster search, and horizontally scalable data platforms.

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Rules & Alerts

  • Sigma Detection Rules: Use of standardized detection rules (e.g., Sigma) for the rapid implementation and adaptation of attack detection across various data sources.
  • Threat Analysis & Security Investigations: Interactive search and analysis of security events for the proactive identification of previously undetected threats and attack activities.
  • Timeline-based Incident Analysis: Reconstruction of attack chains through chronological analysis of correlated events for better investigation of complex security incidents.
  • Incident Tracking: Documentation, prioritization, and tracking of security incidents in integrated case management workflows.
  • Attack Path & MITRE ATT&CK Mapping: Mapping of detected activities to known attack techniques and tactics for the structured analysis and assessment of security incidents.
  • Host Telemetry: Analysis of endpoint and system activities to detect suspicious processes, user actions, or unusual system behavior.

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Gain complete visibility across complex environments

Network Traffic Monitoring

Gain complete visibility into your network traffic in real time – identify bottlenecks and detect potential issues early to prevent outages and ensure reliable operations.

Observability & Analytics

See beyond alerts – understand relationships, identify anomalies, and uncover root causes across your entire environment.

Network Discovery

All devices and services in the network at a glance – gain full transparency across unknown devices and connected assets.

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