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BigΔx QAV

Quantum-Assisted Antivirus

Revolutionary malware detection using hybrid classical+quantum machine learning to identify threats that traditional antivirus solutions miss.

The Problem

Traditional antivirus solutions rely on signature-based detection and basic heuristics, leaving organizations vulnerable to zero-day attacks and sophisticated malware.

Modern threats use advanced evasion techniques, polymorphic code, and AI-generated variants that easily bypass conventional security measures.

The cybersecurity industry needs a quantum leap in detection capabilities to stay ahead of increasingly sophisticated threat actors.

Our Approach

Classical ML for fast initial screening
Quantum algorithms for complex analysis
Dual confidence scoring system
Real-time threat response

Key Features

Hybrid Detection

Combines classical ML speed with quantum nuance for comprehensive threat analysis

Real-time Processing

Endpoint agent with cloud quantum triage for instant threat response

Dual Scoring

Classical and quantum confidence scores provide transparent decision making

Containerized Architecture

Microservices design for scalable deployment and easy integration

Modular Quantum Backends

Pluggable quantum computing providers for future-proof architecture

Open API

RESTful APIs for seamless integration with existing security infrastructure

Access Through BigΔx Dashboard

BigΔx QAV is available through our personalized BigΔx Dashboard, designed specifically for each customer. The dashboard provides comprehensive access to all your quantum-assisted security solutions, including your custom add-ons and integrations.

Each customer receives a tailored dashboard experience that reflects their specific configuration, subscription level, and enabled features. This centralized platform ensures seamless management of your quantum cybersecurity infrastructure.

Ready to Experience Quantum Detection?

Request early access to BigΔx QAV and see how quantum-assisted detection can revolutionize your cybersecurity posture.

Request Early Access