Home▸Cybersecurity▸AI-Powered SOC: Anomaly Detection & Automated Incident Response

🔐 AI-Powered SOC: Anomaly Detection & Automated Incident Response

Watch an AI-driven SOC score live network traffic for anomalies, quarantine flagged threats in real time, and see how adversarial evasion and detection-threshold tuning trade false positives against breaches.

Cybersecurity3DModerate60 FPS

Details

CategoryCybersecurity

RenderingThree.js · WebGL

DifficultyModerate

Target FPS60

ControlsMalicious-traffic slider (0-60%) sets the share of attack packets spawned; detection-threshold slider (τ, 0.30-0.90) sets the anomaly-score cutoff; Auto-response toggle switches between quarantining flagged packets at the sensor shell and merely alerting while they pass through; Adversarial evasion toggle simulates attackers perturbing malicious traffic to dodge detection; Reset counters clears the running stats.

Three.jsAIcybersecurityanomaly detectionSIEMincident responseadversarial MLInstancedMesh

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⚙ Under the hood

Score live network traffic for anomalies with an AI-driven SOC, tune the detection threshold and auto-response, and watch adversarial evasion push malicious packets past the sensor shell toward the core.

Three.jsAIcybersecurityanomaly detectionSIEMincident responseadversarial MLInstancedMesh

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install