Agentic AI-Driven Identity and Access Management Framework for Secure Insurance Ecosystems

Authors

  • Balaji Adusupalli,

Keywords:

Machine Agent, Artificial Intelligence, Insurance, Sensor Management, Situation Awareness, Probability Model, Human System Performance, Knowledge Transparency, Model Transparency, Governance, Oversight, Large-Scale Infrastructure, Performance Measurement, Strategic Decision-Making, Mission Support, Representation Transparency, Awareness Framework, System Reliability, Resilience, Insurance Network Management.

Abstract

This paper advances the current and evolving state of governance and oversight within the context of large-scale insurance
ecosystem infrastructure systems. It introduces a comprehensive awareness framework, which underpins three key oversight and
governance-oriented capabilities: (a) diagnostic and performance measurement, which refers to the ability to conduct a thorough
analysis of situation awareness, (b) plan derivation and assistance that aids in strategic decision-making, and (c) mission support
and sensor management aimed at enhancing overall system performance, reliability, and resilience. Critical to the successful
implementation of these enhanced capabilities is the concept of representation transparency: this involves ensuring that system
and subsystem-represented data and models can be readily recognized and comprehensively understood by all relevant
stakeholders.

References

Lakshminarayana Reddy Kothapalli Sondinti, Ravi Kumar Vankayalapati, Shakir Syed, Ramanakar Reddy Danda, Rama Chandra Rao Nampalli, Kiran Kumar Maguluri, & Yasmeen. (2024). Financial Optimization in the Automotive Industry: Leveraging Cloud-Driven Big Data and AI for Cost Reduction and Revenue Growth. The Bioscan, 19(Special Issue-1), 639645. https://doi.org/10.63001/tbs.2024.v19.i02.S.I(1).p p639-645

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Published

2024-12-10

How to Cite

Balaji Adusupalli,. (2024). Agentic AI-Driven Identity and Access Management Framework for Secure Insurance Ecosystems . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 2794–2814. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2225

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