The Cybersecurity Problem Executives Face
Modern cyber threats are adaptive, adversarial, and designed to evade traditional detection systems. Classical AI models often fail under attack, leading to false positives, delayed responses, and increased breach risk.
Executive Problem
Cyber attackers no longer rely on simple malware. They actively manipulate AI systems, exploit model weaknesses, and overwhelm SOC teams with false signals.
Traditional detection systems suffer from:
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High false positives
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Vulnerability to adversarial evasion
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Analyst fatigue and slow response times
Executive Solution
This project introduces a Hybrid Quantum–Neural AI System that:
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Enhances feature representation using quantum circuits
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Improves detection stability under attack
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Reduces operational and financial risk
This project focuses not on theoretical AI accuracy, but on resilience under real-world attack conditions.