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Use Cases

The platform is built for day-to-day endpoint investigations where analysts need fast answers, clear evidence, and a repeatable workflow.

Suspicious PowerShell execution

  • Detects risky command-line patterns and remote download behavior
  • Correlates child process, file, and network activity
  • Produces an AI summary that explains why the execution is suspicious

Script or binary download from the internet

  • Tracks the initiating process and destination
  • Connects download behavior with file creation and follow-on execution
  • Helps analysts distinguish admin activity from likely abuse

Living-off-the-land activity

  • Surfaces misuse of common utilities such as PowerShell or command shells
  • Preserves process lineage for investigation
  • Maps the activity to MITRE ATT&CK where supported by evidence

High-volume triage

  • Reduces duplicate alerts through correlation
  • Gives junior analysts a clear starting point
  • Standardizes first-pass reasoning across similar incidents
  • Uses similar-event retrieval to compare new alerts with previous behavior patterns

Event follow-up investigation

  • Lets analysts ask whether a process, command line, or parent-child relationship is suspicious
  • Answers using the selected alert context rather than generic security advice
  • Supports IOC extraction for file paths, domains, IP addresses, hashes, and suspicious commands

Multi-alert incident review

  • Groups related detections into a wider incident narrative
  • Highlights likely attack chain, combined risk, and recommended actions
  • Helps analysts avoid reviewing every related alert in isolation

Rule tuning and validation

  • Lets detection engineers ship new JSON rules quickly
  • Shows how rules behave against live endpoint activity
  • Feeds analyst feedback back into the detection lifecycle

Executive or platform visibility

  • Provides a simple view of endpoint health and detection volume
  • Supports reporting on alert trends, handled status, and operating readiness
  • Helps teams explain how AI is used in a controlled security workflow