Edited by
Hemant Kumar Saini, Bennett University in India and Lincoln University in Malaysia
Mariya Ouaissa, Cadi Ayyad University, Morocco
Yassine Maleh, Sultan Moulay Slimane University, Morocco
Mariyam Ouaissa, ENSA, Chouaib Doukkali University, Morocco
Rejwan Bin Sulaiman, University of Law, UK.
ISBN : 9781836691761
Publication Date : December 2026
Hardcover 424 pp
170 USD
Co-publisher
The rapid growth of generative artificial intelligence (Gen-AI) is transforming industries such as healthcare, finance, education, law and software engineering. While Gen-AI enhances productivity and decision-making, it also introduces significant security, privacy and governance challenges, particularly through the unintended exposure of sensitive data.
Securing Uncontrolled Gen-AI Upload-Induced Data Leakage examines the risks associated with uploading personal information, intellectual property, confidential communications and proprietary source code to AI systems. It explores key threats, including unsafe prompt engineering, shadow AI usage, prompt injection, model inversion, data poisoning and API misuse, which can result in data leakage, model memorization and regulatory violations.
Through real-world case studies, forensic analysis and log tracing, this book demonstrates how sensitive information propagates across AI environments, and how such risks can be identified and mitigated. It also presents governance and forensic frameworks aligned with regulations such as GDPR, HIPAA and CCPA, providing practical guidance for secure, transparent and responsible AI adoption.
1. Privacy-preserving ML and Secure AI Architectures, Hicham Zmaimita, Abdellah Madani and Driss Abada.
2. Shadow AI, Insider Threats and Organizational Uploaded Risks, Shahed A. Al-Tamimi and Qasem Abu Al-Haija.
3. Mitigating Data Leakage in Gen-AI Cloud Uploads: Detection Frameworks and Best Practices, Lourdu Akhila Yeruva, Shubneet and Anushka Raj Yadav.
4. Threat Modeling for Upload-Induced Data Leakage in Generative AI, Nikita Sharma, Bindiya Jain, Hemlata Jain and Manisha Gaur.
5. Secure Threat Modeling of Upload-based Data Leakage in Generative AI Systems, Shahed A. Al-Tamimi and Qasem Abu Al-Haija.
6. Uncontrolled Generative AI Uploads and Sector-Specific Data Leakage: A Statistical Case Study Across Healthcare, Finance, Legal and Software Domains, N. Mani, V. Kavitha and B.L. Shivakumar.
7. Role of Digital Forensics Techniques in Sustaining Generative AI Systems, Muhammad Ahsan Qureshi.
8. Forensic-Driven Security for Generative AI Detecting Upload-Induced Data Leakage, Mritunjay Kr. Ranjan, Parimala Mani, Pranjal Sonje, Rajashri Rikame, Disha Arsude and Ankita Patil.
9. DeepFakeGuard: A Multimodal Framework for Detecting Misinformation Driven by GenAI Data Leakage, Bayan Alfarrayeh, Mais Alashqar, Marya Sabeha, Farah Abu Al-Soud and Qasem Abu Al-Haija.
10. A Post-Quantum Secure Automata-Governed Framework for Preventing Upload-Induced Data Leakage in Generative AI Systems Using Lattice Cryptography, Rohit Gupta, Amit Kumar, Shilpa Bhojne, Jyotsna Kulkarni, Ankita Patil and Mritunjay Kr. Ranjan.
11. An Automata-Governed Self-Healing Cybersecurity Architecture Integrating Machine Learning and Upgradeable Blockchain Smart Contracts, Pankaj Patil, Mritunjay Kr. Ranjan, Monali Jadhav, Jayashree Kunde, Ishwari Rakibe and Disha Arsude.
12. A Privacy-Aware Hybrid Automata–Machine Learning Framework for Secure Real-Time Fraud Detection in Satellite-enabled Financial Systems, Vivek Nakhate, Mritunjay Kr. Ranjan, Sarika Kondekar, Gaurav Patil, Rajashri Rikame and Pranjal Sonje.
13. Mitigating Gen-AI Upload-induced Data Leakage with Federated TinyML on ESP32: A Privacy-Preserving Edge Architecture for Rural Biogas Production Forecasting, Amine Chiguer, Mohammed Sadik and Abderrahim Fail.
Hemant Kumar Saini is an academic at Bennett University, India and Lincoln University, Malaysia. His research focuses on IoT, wireless networks and AI.
Mariya Ouaissa is an Assistant Professor of Cybersecurity and Networks at Cadi Ayyad University, Morocco. Her research focuses on IoT, wireless and cyber-physical security.
Yassine Maleh is an Associate Professor at Sultan Moulay Slimane University, Morocco. His research focuses on cybersecurity, IoT security and IT governance.
Mariyam Ouaissa is an Assistant Professor at ENSA, Chouaib Doukkali University, Morocco. Her research focuses on IoT, wireless networks and security.
Rejwan Bin Sulaiman is a Senior Lecturer of Cybersecurity at the University of Law, UK. His research focuses on cybersecurity, AI and machine learning.
