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DESCRIPTION:In the era of distributed cloud-native architectures\, the vuln
 erability of centralized certificate and identity management systems repre
 sents a single point of failure that can lead to catastrophic system-wide 
 outages. This session presents a novel framework for an Autonomic Zero-Tru
 st Identity Mesh\, derived from real-world implementations within global f
 inancial infrastructures handling trillions in daily transaction volume. T
 he core of this contribution is a decentralized "Cert Store" logic and aut
 omated rotation pipeline that eliminates manual intervention in high-scale
  environments. We analyze how integrating AI-driven anomaly detection with
 in the identity layer can proactively identify and isolate compromised ser
 vice identities before they propagate through the mesh. The discussion wil
 l focus on the technical architecture required to balance "Strict Zero-Tru
 st" enforcement with the ultra-low latency requirements of core banking sy
 stems. By moving from reactive patch management to a proactive\, self-heal
 ing identity mesh\, this framework provides a blueprint for securing the c
 ritical "Digital Backbone" of the global financial ecosystem.\n\nSpeaker(s
 ): Sudheer\, \n\nVirtual: https://events.vtools.ieee.org/m/545463
LOCATION:Virtual: https://events.vtools.ieee.org/m/545463
ORGANIZER:mguduri@ltu.edu
SEQUENCE:16
SUMMARY:Architecting Resilient Zero-Trust Identity Mesh: A Framework for Pr
 eventing Systemic Outages in High-Scale Financial Cloud Data Planes
URL;VALUE=URI:https://events.vtools.ieee.org/m/545463
X-ALT-DESC:Description: <br /><p>In the era of distributed cloud-native arc
 hitectures\, the vulnerability of centralized certificate and identity man
 agement systems represents a single point of failure that can lead to cata
 strophic system-wide outages. This session presents a novel framework for 
 an Autonomic Zero-Trust Identity Mesh\, derived from real-world implementa
 tions 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 inter
 vention in high-scale environments. We analyze how integrating AI-driven a
 nomaly detection within the identity layer can proactively identify and is
 olate compromised service identities before they propagate through the mes
 h. The discussion will focus on the technical architecture required to bal
 ance "Strict Zero-Trust" enforcement with the ultra-low latency requiremen
 ts of core banking systems. By moving from reactive patch management to a 
 proactive\, self-healing identity mesh\, this framework provides a bluepri
 nt for securing the critical "Digital Backbone" of the global financial ec
 osystem.</p>
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