Secure AI Watermarking Framework for IP Protection in Multi-Tenant Cloud Platforms

Computer Science > Cryptography and Security [Submitted on 1 Aug 2026] Secure AI Watermarking Framework for IP Protection in Multi-Tenant Cloud Platforms M Anjan Kumar, Kishor Kumar Gajula, Ch Prathima The Secured data safe guard transaction with multi-tenant environments run on private-protected authenticate platforms runs by secured handed environments that emerges with the expansion of cloud-based AI services. To enhanced this secured leakage address challenges solution to protect a secure AI Watermarking system incorporating key distributed between trusted parties based on key authentication as we proposed solution to guided safe guarded way to reactive, and proactive security alert systems using algorithms. This proposed system before attacks can be prevented through the active measures. domain run base restrictions with limited access. Conversely, Proposed system reactive methods to captured on watermarking and biometric identification owner device specific IP leakage that occur during the exchange of data and models in federated and remote learning algorithms. Comments: 14 Pages, 14 figures, 4 Tables Subjects: Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI) Cite as: arXiv:2608.02656 [cs.CR]   (or arXiv:2608.02656v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2608.02656 Focus to learn more Journal reference: 2025,International Journal of Research and Development in Engineering Sciences Related DOI: https://doi.org/10.63328/IJRDES-V7RI6P9 Focus to learn more Submission history From: Anjankumar M [view email] [v1] Sat, 1 Aug 2026 09:58:31 UTC (3,262 KB) Access Paper: view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-08 Change to browse by: cs cs.AI References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)