New AI-Powered Anomaly Detection Engine v2.0 Live

Intelligent Network Defense.
Zero-Day Detection.

NetSentinel combines live packet sniffing with deep multi-class Random Forest intelligence to detect, classify, and mitigate DoS, Probe, and R2L intrusions in real time.

99.4% Detection Precision
Sub-2ms Inference Latency
Wireshark & PCAP Dissection
Continuous Background Retraining
NetSentinel Security Operations Console
Live Stream Active
Packets Inspected
1,482,910
↑ +24.8% stream volume
Threats Mitigated
42 Blocked
3 critical DoS floods
Model Accuracy
99.4%
Random Forest v2
Avg Inspection Latency
1.18 ms
Zero buffer drop

Live Network Packet Inspection Stream

Showing recent flow records
Timestamp Source IP Destination IP Proto Classification Confidence
12:38:14.210 192.168.1.104 10.0.0.1:443 TCP ● Normal Traffic 99.8%
12:38:15.084 45.143.201.88 10.0.0.1:80 TCP ▲ DoS (SYN Flood) 99.4%
12:38:15.652 185.220.101.4 10.0.0.1:22 TCP ▲ Probe (Port Scan) 98.9%
12:38:16.110 192.168.1.112 10.0.0.5:53 UDP ● Normal Traffic 99.9%

Built for Modern SecOps & Enterprise Infrastructure

Everything needed to dissect high-velocity network traffic, detect emerging threats, and streamline incident response.

Real-Time Packet Sniffing

Direct integration with Wireshark and tshark to monitor live network adapters, extract flow characteristics, and inspect TCP/UDP packets instantaneously.

Multi-Class ML Inference

Trained Random Forest classifier identifying Normal traffic alongside complex attack vectors: Denial of Service (DoS), Network Probing, and Unauthorized Access.

Automated Alert Triage

Multi-tier severity scoring (Low, Medium, High, Critical) with automated alert generation, immediate threat tagging, and one-click analyst resolution.

Continuous Model Retraining

Stores live traffic logs in the database and triggers non-blocking background retraining threads so your AI adapts to new attack surfaces automatically.

Batch Dataset Scoring

Upload multi-megabyte CSV and PCAP network traces with smooth Axios progress tracking, high-speed batch classification, and full prediction exports.

Interactive SOC Dashboards

Comprehensive telemetry dashboards built with Chart.js showing hourly volume breakdowns, protocol shares, attack distribution, and model metrics.

How NetSentinel AI Protects Your Perimeter

From raw wire packet frames to classified security telemetry in three deterministic steps.

Step 01

Wire Capture & Dissection

Ingests real-time network packets from interface taps or offline CSV dumps. Dissects headers into IP addresses, ports, protocol types, flag configurations, and payload lengths.

Step 02

Feature Vector Extraction

Maps network telemetry across 41 connection attributes, computing flow duration, error rates, service categories, and host connection histories matching NSL-KDD standards.

Step 03

AI Prediction & Mitigation

Evaluates features against trained Random Forest trees in sub-2ms time. High-confidence intrusions trigger automated severity alerts and persist forensic records to the audit log.

99.4%
Detection Precision
On benchmark attack distributions
< 2ms
Classification Latency
Sub-millisecond model evaluation
41
Network Flow Features
Deep behavioral pattern analysis
100%
Database Audit Trail
Persistent traffic and alert retention

Start Defending Your Network Infrastructure

Deploy real-time packet inspection and machine-learning threat classification across your servers today.

Get Started with NetSentinel