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Collaborative penetration testing suite for emerging generative AI algorithms
Petar Radanliev1,2,3
1Department of Computer Science, University of Oxford, Wolfson Building, Parks Rd, OX1 3QG Oxford, England.
Applied Intelligence (Dordrecht, Netherlands)
|October 20, 2025
Summary
This study introduces a novel penetration testing suite to secure generative AI against quantum threats. It effectively identifies and remediates vulnerabilities, enhancing overall system security.
Area of Science:
- Cybersecurity
- Quantum Computing
- Artificial Intelligence
Background:
- Generative AI systems face significant cyber threats and quantum computing challenges.
- Existing security measures are insufficient against advanced adversarial and quantum-assisted attacks.
Purpose of the Study:
- To propose and evaluate a new penetration testing suite for securing generative AI against quantum security concerns.
- To integrate advanced security testing methodologies and quantum-resistant protocols.
Main Methods:
- Integration of Dynamic and Static Application Security Testing (DAST & SAST) using OWASP ZAP, Burp Suite, SonarQube, and Fortify.
- Real-time monitoring via Interactive Application Security Testing (IAST) with Contrast Assess.
- Blockchain-enhanced logging with Hyperledger Fabric for tamper-proof records.
- Implementation of quantum-resistant cryptographic protocols (lattice-based, RLWE).
- AI-driven red team simulations for adversarial and quantum-assisted attack emulation.
Main Results:
- Identification and remediation of over 300 vulnerabilities, with a 70% reduction in high-severity issues within two weeks.
- 90% resolution efficiency for vulnerabilities logged via blockchain.
- Demonstrated resilience of quantum-resistant protocols against simulated quantum attacks.
- Successful secure API encryption and data transmission.
Conclusions:
- The developed penetration testing suite establishes a new protocol for securing generative AI systems.
- The integrated approach effectively addresses both traditional and quantum-related security vulnerabilities.
- The findings highlight the importance of proactive and advanced security measures in the era of AI and quantum computing.
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