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.
Multi-layered security powered by on-device neural networks
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.
Multi-model Bayesian ensemble combining neural network, YARA signatures, and hash reputation. Extracts 150 features with specialized analyzers for documents and zero-day pattern detection including memory exploitation indicators.
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.
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.
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.
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.
Enterprise-grade XDR architecture with on-device inference and secure cloud synchronization
Five-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.
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.
Threat analysis runs on-device with secure cloud synchronization for federated model updates. DP-SGD gradient clipping enables collective model improvement while training data stays local.
Enterprise-grade detection surface with mobile-optimized performance
Work in Progress: Our intelligent AI assistant will explain threats in simple terms, execute security actions on command, and provide proactive alerts to keep you informed.
Be among the first to experience next-generation mobile threat protection
Cyber Guardian is available for commercial and government deployment