Authors:
Bhagath Chandra Chowdari Marella

Addresses:
Department of Financial Services Insights and Data, Capgemini America Inc., Bridgewater, New Jersey, United States of America.

Abstract:

The days of perimeter-based security have been replaced by those of intelligent information infrastructures, which require a different kind of approach. This research proposes a context-driven data protection strategy to enable secure lifecycle governance by dynamically varying security controls based on real-time situational awareness. Our approach is to combine environmental metadata with data classification to go beyond static access policies and introduce a more fluid, adaptive security approach. In this research, the researcher used a synthetic data set comprising 398 instances of enterprise information flows across heterogeneous network nodes. The methodology included deploying an autonomous policy engine, powered by custom simulation scripts, to assess access requests across a range of user roles, locations, times, and system integrity metrics. Tools used for this analysis are a proprietary data governance simulator and visualization frameworks for processing telemetry logs. Our research shows that context-aware governance reduces unauthorized access attempts by a considerable amount without affecting operational throughput. The incorporation of the concept of context into the lifecycle governance framework has been shown to help reduce the risk of exposure to sophisticated threats by aligning data protection activities with the context in which the data is used and/or processed.

Keywords: Context-aware Security; Lifecycle Governance; Information Infrastructure; Adaptive Access; Security Risk; Data Protection; Adaptive Security Approach; Perimeter-based Security.

Received on: 05/06/2025, Revised on: 26/08/2025, Accepted on: 15/09/2025, Published on: 29/06/2026

DOI: 10.69888/FTSCL.2026.000703

FMDB Transactions on Sustainable Computer Letters, 2026 Vol. 4 No. 2, Pages: 129-137

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