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Research Lab/Security Operations

Stop Alert Fatigue. Start Investigating Real Incidents.

Cylerian AI SOC transforms thousands of security alerts into actionable incidents — enabling analysts to focus on real threats, not noise.

Security analysts monitoring a Cylerian AI SOC command center with real-time threat dashboards

Modern SOC teams are overwhelmed by an endless stream of security alerts generated by EDR, firewalls, identity platforms, cloud services, and network monitoring tools. While each alert may contain valuable telemetry, the sheer volume and complexity make it virtually impossible for human analysts to spot coordinated attack patterns in real time.

The result? Critical breaches hide in plain sight amidst the alert noise.

Analysts spend up to 70% of their shifts manually triaging low-fidelity alerts, switching dashboards, and rebuilding fragmented attack timelines instead of executing decisive containment playbooks.

The Core Problem: Disconnected Silos and Zero Context

Every point security solution sees only an isolated slice of an intrusion:

  • An endpoint EDR detects a suspicious script execution.
  • An IAM platform flags abnormal multi-factor authentication locations.
  • A network sensor identifies high-frequency internal port queries.
  • A cloud audit log highlights privileged role policy adjustments.

Individually, these alerts seem low or medium severity. But together, they constitute an active, multi-stage ransomware staging operation in progress.

From Alert Management to Autonomous Incident Investigation

The Unified Incident as the Primary Unit of Work

Cylerian AI SOC fundamentally restructures detection engineering. Instead of routing hundreds of disconnected notifications, Cylerian’s AI engine automatically clusters related anomalies across endpoint, cloud, identity, and network into a single, cohesive incident dossier.

Automated Cross-Telemetry Correlation

Ingests raw telemetry across all tiers and dynamically binds correlated events into unified attack trees.

Cyra Virtual AI Security Analyst

Generates natural language root-cause summaries, blast radius estimations, and prioritized remediation actions.

  • Initial access vector determination
  • Compromised credentials & lateral paths
  • Critical asset exposure rating
  • Regulatory compliance breach mapping

Chronological Attack Reconstruction

Builds a visual, second-by-second narrative of attacker dwell time without manual log parsing.

Automated Response Orchestration

Executes instant agent-level isolation, token revocations, and IP blacklisting in milliseconds.

Real-World Scenario: Triaging an Advanced Credential Attack

Traditional Legacy SOC
  1. 12 separate alerts trigger across 4 consoles.
  2. Tier-1 analyst spends 45 minutes verifying false positives.
  3. Attacker establishes persistence and begins data exfiltration.
  4. Manual escalation to Tier-3 team after hours of delay.
Mean Time to Detect: 4.8 Hours
With Cylerian AI SOC
AUTO-GENERATED INCIDENT
High-Confidence Credential Takeover & Lateral SMB Staging
  • 1 consolidated incident created instantly
  • Full attack blast radius mapped automatically
  • Compromised host isolated at kernel level
  • Root-cause report generated for executive review
Mean Time to Remediation reduced from hours to under 3 minutes.

Less noise. More intelligence. Immediate containment.

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