Core Capabilities
  • Behavioral baselining of users, devices, and applications
  • Real-time anomaly detection with ML and UEBA models
  • Automated response workflows via SOAR platforms
  • Threat hunting with AI-assisted investigation tools
  • Integration with EDR, XDR, and cloud security telemetry
Tech Foundation
  • AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn
  • Security analytics: Microsoft Sentinel, Splunk AI, IBM QRadar
  • EDR/XDR platforms: CrowdStrike Falcon, SentinelOne, Palo Alto Cortex
  • Automation via SOAR: Phantom, Demisto, Swimlane
Deployment
  • Assessment of existing SOC maturity and telemetry readiness
  • Custom AI model training on organization-specific datasets
  • Integration with log sources, endpoints, and cloud providers
  • 24/7 monitoring with AI-assisted analyst augmentation
Value
  • Reduced mean-time-to-detect (MTTD) and mean-time-to-respond (MTTR)
  • Detection of insider and zero-day threats missed by traditional tools
  • Cost-effective scaling of SOC capabilities
  • Improved resilience against evolving cyber attack patterns
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