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CyberShield AI - Autonomous Threat Detection & Response

CyberShield AI - Autonomous Threat Detection & Response

CyberShield AI uses continuous deep packet inspection and behavioural machine learning models to detect zero-day cyber threats in real time.

CyberShield AI is an intelligent defensive cybersecurity platform that continuously ingests network telemetry and applies real-time behavioural anomaly classifiers to neutralize threat vectors before escalation.

Problem

Traditional signature-based firewalls cannot detect novel zero-day attack vectors and sophisticated lateral movement.

Solution

CyberShield AI trains behavioural anomaly classifiers on network telemetry to detect and quarantine zero-day threats in milliseconds.

Features

Real-time packet flow inspection and protocol decoding
Behavioural anomaly detection with deep learning
Automated IP quarantine and firewall rule injection
Live security operations center (SOC) event map

Screenshots

CyberShield Threat Intelligence Preview
CyberShield AI threat detection dashboard

Architecture

  1. 1eBPF hooks capture kernel-level network socket activity
  2. 2Streaming pipeline extracts behavioral flow statistics
  3. 3TensorFlow model classifies traffic as benign or anomalous
  4. 4Automated orchestrator triggers firewall isolation rules

Tech Stack

PythoneBPFTensorFlowFastAPINext.js

Future Roadmap

  • - Add MITRE ATT&CK framework mapping for detected events
  • - Introduce automated threat intelligence feed sharing
  • - Support Kubernetes cloud-native sidecar enforcement