Securing Microservices with Agentic AI: A Framework for Context-Aware Zero Trust Environments

DOI

10.2991/978-94-6463-978-0_34How to use a DOI?

Keywords

Agentic AI; Microservices Security; Zero Trust Architecture; Context-Augmented Generation (CAG); Retrieval-Augmented Generation (RAG); Autonomous Systems; Cybersecurity; Large Language Models

Abstract

Microservice architectures have brought agility to an unprecedented level at scale, and have at the same time created a fundamentally new attack surface, making traditional security models irrelevant. The present paper presents the concept of the Agentic Context-Aware Security Framework (ACASF), a new research paradigm to provide microservices with security by means of a dynamic zero-trust style. Originally introduced as autonomous AI agents, ACASF is augmented with Context-Augmented Generation (CAG) and Retrieval-Augmented Generation (RAG) to leave behind fixed security rules. RAG fills agent decisions with extensive body of external threat intelligence and historical information whereas CAG gives real-time operational information of the live environment. We introduce the Contextual Threat Vector Algorithm (CTVA) that will provide the agents with the opportunity to evaluate threats autonomously and implement security policies in the most accurate way. We have experimentally assessed ACASF on an artificial enterprise locality environment and have found that ACASF delivers a 47 percent reduction in mean time to response (MTTR) and 62 percent lower out of the false positive rates than traditional security solutions that proves to be a new standard in intelligent, adaptive microservices security.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Damodhra Reddy Palavali
AU  - Suneetha Pothireddy
PY  - 2025
DA  - 2025/12/31
TI  - Securing Microservices with Agentic AI: A Framework for Context-Aware Zero Trust Environments
BT  - Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)
PB  - Atlantis Press
SP  - 396
EP  - 405
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-978-0_34
DO  - 10.2991/978-94-6463-978-0_34
ID  - Palavali2025
ER  -