BigΔx by Qvanta®
Quantum Antivirus
Endpoint defense engineered for polymorphic and AI-assisted malware
Attackers no longer ship one static binary. They ship campaigns: endlessly rewritten loaders, obfuscated droppers, and semantically equivalent payloads that defeat hash-based and signature-first defenses.
- Polymorphic and metamorphic malware rewrites structure while preserving malicious intent.
- AI-assisted development accelerates promptmorphism: disposable stage-1 loaders regenerated at scale.
- Fileless, in-memory, and living-off-the-land techniques reduce the value of static file inspection alone.
- Security teams face alert fatigue while novel variants outpace traditional signature refresh cycles.
BigΔx QAV combines classical machine learning with quantum-assisted analysis to classify threats beyond static appearance, prioritizing behavior, structural signals, and adaptive confidence scoring at the endpoint.
- Hybrid detection pipeline designed for high-entropy, rapidly mutating malware families.
- Escalation path for uncertain samples using quantum-assisted refinement without exposing proprietary logic.
- Sub-second local decisions suitable for real-time endpoint protection.
- Zero-trust telemetry architecture with encrypted analysis workflows.
QAV is built for the malware economy of scale: where variation is cheap and signatures expire quickly.
Multi-Signal Fusion
Correlates behavioral, structural, and contextual indicators instead of relying on file hashes alone.
Adaptive Scoring
AI-driven confidence models rank unknown samples and prioritize analyst attention on high-risk events.
Quantum-Assisted Refinement
Quantum-inspired analysis strengthens classification for edge cases that classical models struggle to separate.
Campaign-First Detection
Focuses on durable attack behavior and operational patterns when wrappers and loaders change constantly.
Architected for enterprise and regulated environments with auditable security operations.
Interested in BigΔx QAV? Contact the Qvanta® team about deployment, licensing, or a demo.
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