Session: Securing Multi-Tenant Clouds via Isolation
Multi-tenancy is a core principle of modern cloud computing, allowing multiple customers to share the same physical infrastructure while maintaining logical separation. However, this model introduces significant security concerns—particularly the risk of cross-tenant data leakage, where sensitive information from one tenant may be exposed to another due to misconfigurations, architectural flaws, or sophisticated attacks.
This research investigates the effectiveness of various isolation techniques implemented at different layers of the cloud stack. It explores virtualization technologies, containerization mechanisms, network segmentation (e.g., VPCs and microsegmentation), and emerging models like confidential computing and Zero Trust Architecture. Additionally, it examines how side-channel attacks, such as Spectre and Meltdown, exploit shared resources to bypass tenant boundaries.
Through a combination of vulnerability analysis, experimental testing, and case study review, this study highlights the gaps in current isolation mechanisms and proposes a multi-layered defense strategy that includes continuous monitoring, policy-driven access control, and behavioral anomaly detection. The findings provide actionable guidance for cloud service providers, security architects, and enterprises to design secure multi-tenant cloud environments that prevent data leakage, comply with regulatory requirements, and maintain customer trust.
Bio
Mrunal Gangrade is Vice President at JPMorgan Chase, where she leads enterprise-scale initiatives in artificial intelligence, machine learning, cybersecurity, and cloud-based software engineering. She designs and develops secure, scalable systems that drive innovation and operational excellence across financial services and healthcare.
With over 20 years of experience, Mrunal has led projects in identity and access management, fraud detection, risk analytics, and AI-driven automation, translating advanced technologies into practical, high-impact solutions. She is an IEEE-published researcher, a peer reviewer for international journals and conferences, and a frequent hackathon judge and industry speaker, sharing insights on ethical AI, responsible technology adoption, and innovation governance.
Mrunal has presented at prominent industry events including BSides Orlando, BSides SWFL, Visions CIO/CISO Summit, DSSalon, and the IEEE Tech X event at USF, mentoring the next generation of technology leaders. Her work bridges technical depth and strategic vision, focusing on building AI systems that are transparent, explainable, and trustworthy, while delivering measurable business and operational value.