Architecting Resilient Zero-Trust Identity Mesh: A Framework for Preventing Systemic Outages in High-Scale Financial Cloud Data Planes

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In the era of distributed cloud-native architectures, the vulnerability of centralized certificate and identity management systems represents a single point of failure that can lead to catastrophic system-wide outages. This session presents a novel framework for an Autonomic Zero-Trust Identity Mesh, derived from real-world implementations within global financial infrastructures handling trillions in daily transaction volume. The core of this contribution is a decentralized "Cert Store" logic and automated rotation pipeline that eliminates manual intervention in high-scale environments. We analyze how integrating AI-driven anomaly detection within the identity layer can proactively identify and isolate compromised service identities before they propagate through the mesh. The discussion will focus on the technical architecture required to balance "Strict Zero-Trust" enforcement with the ultra-low latency requirements of core banking systems. By moving from reactive patch management to a proactive, self-healing identity mesh, this framework provides a blueprint for securing the critical "Digital Backbone" of the global financial ecosystem.


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  • Starts 08 March 2026 05:00 AM UTC
  • Ends 08 March 2026 01:00 PM UTC
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Sudheer

Topic:

Architecting Resilient Zero-Trust Identity Mesh: A Framework for Preventing Systemic Outages in High-Scale Financial Clo

In the era of distributed cloud-native architectures, the vulnerability of centralized certificate and identity management systems represents a single point of failure that can lead to catastrophic system-wide outages. This session presents a novel framework for an Autonomic Zero-Trust Identity Mesh, derived from real-world implementations within global financial infrastructures handling trillions in daily transaction volume. The core of this contribution is a decentralized "Cert Store" logic and automated rotation pipeline that eliminates manual intervention in high-scale environments. We analyze how integrating AI-driven anomaly detection within the identity layer can proactively identify and isolate compromised service identities before they propagate through the mesh. The discussion will focus on the technical architecture required to balance "Strict Zero-Trust" enforcement with the ultra-low latency requirements of core banking systems. By moving from reactive patch management to a proactive, self-healing identity mesh, this framework provides a blueprint for securing the critical "Digital Backbone" of the global financial ecosystem.

Biography:

Sudheer Obbu is a distinguished expert in Cloud Systems Architecture and AI-Powered Automation, currently serving as a Vice President and Senior Lead Software Engineer at JPMorgan Chase. With over two decades of experience in the financial technology sector, he is a pivotal figure in architecting high-scale, resilient cloud infrastructures designed to manage massive global transaction volumes.

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