A Zero Trust Approach to Cloud Resource Access Request Management and Authorization
Deven Nandapurkar, Dr. Smita Chaudhari, Atharv Nalwade, Chinmay Kale, Yashvardhan Jadhav
IAM (Identity Access Management), ZTM (Zero Trust Management), ZTNA (Zero Trust Network Access), AMM (Access Management Module), ABAC (Attribute-Based Access Control), NIST (National Institute of Standards and Technology).
In line with the Zero Trust philosophy, this study presents a complex solution that optimizes AWS IAM access control inside a networked architecture. The cornerstone is the Access Management Module, which uses a Zero Trust perspective to enable easy provisioning, modification, and revocation of user access to AWS services. The Continuous Monitoring Module examines CloudTrail logs in real-time, using anomaly detection algorithms to proactively detect security violations and rigorously compare user records against enterprise limitations. The Usage Reporting Dashboard facilitates informed decision-making by offering visually intuitive analysis that aligns with Zero Trust principles. Following the Zero Trust tenet, the Predictive Modeling Module uses past data to train a machine learning model for dynamic risk assessment, strengthening the system’s defenses against potential threats. With the help of this integrated architecture, an effective Zero Trust-oriented AWS IAM Access Management Portal is established, successfully handling changing access control and security concerns.
Article Details
Unique Paper ID: 163478

Publication Volume & Issue: Volume 10, Issue 11

Page(s): 2069 - 2074
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