Post-Quantum
Defense
Architecting the immune system for the quantum web.
Fusion of lattice cryptography and autonomous neural networks.
Available Products
Next-generation cryptographic solutions and quantum simulation tools available for deployment.
AEGISVECTRO
CORE DEFENSE PLATFORM
Real-time protection against phishing, malware, and social engineering. Powered by 100% local heuristics and Vision AI, AegisVectro combines 17 specialized engines to secure every aspect of your browsing session.
QUANTUMPY
SIMULATION LIBRARY
A cryptographic suite designed to secure sensitive data against massive GPU/FPGA brute-force clusters and active tampering attempts. Provides robust quantum-proof encryption for modern computational threats.
System Architecture
A hierarchical generative model powering defensive subsystems.
Cyber-Defense AI
Central generative engine orchestrating real-time defense strategies.
QuantumShield
NeuralNet FW
Current Directives
Our active development pipeline focuses on three pillars: Encryption, Detection, and Offensive Simulation.
QuantumShield
Post-Quantum Cryptography
System-level protection using post-quantum algorithms. Designed to secure local files against next-gen ransomware threats before they happen.
- Lattice-based cryptography
- Real-time file entropy monitoring
- Zero-day ransomware heuristic
NeuralNet Firewall
AI Traffic Analyzer
AI-driven network defense that learns normal traffic patterns to identify and block anomaly-based intrusions instantly.
- Unsupervised learning baseline
- Deep packet inspection via NN
- Micro-segmentation enforcement
Cyber-Defense AI
Multi-Purpose Guardian
A primary cybersecurity model capable of handling general tasks. Detects quantum-level attacks, prevents intrusions, and accelerates research.
- Quantum-attack prevention
- General-purpose task capability
- Automated Red Teaming agents
Training the Next
Digital Guardians
"WhiteHat-1" is being trained on proprietary datasets containing millions of vectors. We aim to automate 90% of routine penetration testing tasks.
user@avl-lab:~$ ./init_model_training.sh --target=WhiteHat-1
[INFO] Allocating resources... DONE
[INFO] Loading dataset 'cve-2024-comprehensive'... DONE
[INFO] Initializing neural weights...