CYBER GUARDIAN

ADVANCED THREAT PROTECTION

Enterprise-Grade Extended Detection and Response Platform for Mobile. Combining machine learning, behavioral analysis, and federated learning to protect against advanced threats.

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CAPABILITIES

Comprehensive Protection

Multi-layered security powered by on-device neural networks

App Detection

Three-tier neural ensemble combining TensorFlow Lite inference with native scoring and behavioral heuristics. Bayesian weighted voting with dynamic confidence adjustment prevents false positives while maintaining high detection rates.

File Detection

Multi-model Bayesian ensemble combining neural network, YARA signatures, and hash reputation. Extracts 67 features with specialized analyzers for documents and zero-day pattern detection including memory exploitation indicators.

DNS Protection

On-device VPN with certificate-pinned DoH resolution. Four-stage cascade detection with Bayesian inference, FFT-based C2 beaconing analysis, and neural DGA detection trained on 25+ malware families.

Temporal Analysis

Time-series analysis using Kalman filtering and ARIMA forecasting to detect behavioral drift, off-hour anomalies, and pattern changes that indicate compromise or automated malicious activity.

Anomaly Detection

Multi-signal analysis combining ML inference, Kalman state estimation, and correlation bonuses. Detects APT patterns, lateral movement, privilege escalation, and defense evasion with kill chain phase mapping.

Federated Learning

On-device neural adapter layer with differential privacy and gradient clipping. Models improve through secure aggregation while all training data remains local. Global-local weight blending preserves personalization.

TECHNOLOGY

How It Works

Enterprise-grade XDR architecture running entirely on-device

Multi-Model Ensemble Architecture

Seven-component weighted scoring combines neural networks, heuristics, reputation, and contextual analysis. Logarithmic boosting prevents score saturation while multi-source detection bonuses reward cross-vector correlation.

XDR Threat Correlation

Graph-based analysis using PageRank centrality and Louvain community detection correlates threats across apps, DNS, files, and behaviors. Kill chain phase mapping with MITRE ATT&CK integration tracks attack progression.

Privacy-Preserving Intelligence

All threat analysis processed locally on-device. Federated learning with DP-SGD gradient clipping enables collective model improvement. Secure aggregation ensures raw data never leaves your device.

Detection Engine

3 TensorFlow Lite models
Bayesian network inference
Kalman state estimation
ARIMA time-series forecasting

Threat Coverage

APT group detection
Zero-day pattern detection
C2 beaconing via FFT analysis
Kill chain phase tracking

Response Engine

Automated threat response
MITRE ATT&CK mapping
Multi-vector correlation
Attack chain prediction

ARCHITECTURE

Built for Speed & Accuracy

Enterprise-grade detection surface with mobile-optimized performance

File Features

ML features extracted for neural network analysis

Ensemble Components

Weighted scoring from ML, heuristics, reputation, and context

MITRE TTPs

Mobile-specific attack techniques mapped to kill chain

25+

Malware Families

DGA patterns from major threat families for DNS detection

Detection Stages

Cascade pipeline from threat intel to behavioral analysis

Neural Networks

TensorFlow Lite models for apps, files, and DNS

COMING SOON

AI Security Assistant

On the Roadmap: Our intelligent AI assistant will explain threats in simple terms, execute security actions on command, and provide proactive alerts to keep you informed.

Natural language threat explanations
Voice-activated security commands
Proactive threat notifications
Conversation memory & context

Cyber Guardian AI

I detected a suspicious app trying to access your SMS messages. Would you like me to quarantine it?

Yes, quarantine it

Done! The app has been quarantined and its network access has been blocked. Your device is now secure.