Secure Data Exchange between Salesforce Marketing Cloud and Healthcare Platforms

In the digital world, there is little room for error when securing data exchange, and industries that work with sensitive data, such as healthcare and retail, depend on it. This paper discusses the integration of Salesforce Marketing Cloud (SFMC) with the healthcare and retail platforms by assessing the methods of data exchange for securing the data operating efficiency and ensuring adherence to stringent privacy regulations such as HIPAA and GDPR. While the technologies that touch upon privacy, such as AI-driven intrusion detection, quantum right-resistant encryption, and zero trust architecture, are new on the block, they are fast emerging as effective ways of keeping sensitive data in trust while still being exchanged. Since machine learning is used in AI intrusion detection systems, they can detect security threats proactively and mitigate them in real time, increasing breach response time. Being quantum resistant corresponds to the face of the advent of quantum computing, which puts traditional encryption methods at risk. Building on the principles of zero trust frameworks, security multiplies with continual verification of users and devices to lessen the risk of unmetered access. For instance, in the healthcare sector, these technologies guard Electronic Health Records (EHR) and remain firm within the regimes of regulatory frameworks. In retail, they keep bank accounts, payment histories, and customers' personal data in the loyalty programs. As technologies evolve, healthcare and retail companies should adapt to such forward-facing security strategies and adopt zero-trust models, AI, and quantum encryption to stay ahead of the foreseeable threats. This article provides insight into these technologies as practical solutions that will allow us to secure the data exchange processes, ensure compliance, and retain consumer trust in the increasingly complex digital environment.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-03-21
DOI
https://doi.org/10.52783/jisem.v10i23s.3678
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Secure Data Exchange between Salesforce Marketing Cloud and Healthcare Platforms

Jiten Sardana
Journal of Information Systems Engineering & Management
Big Data and Business Intelligence
article

Secure Data Exchange between Salesforce Marketing Cloud and Healthcare Platforms

Jiten Sardana
article en

Abstract

In the digital world, there is little room for error when securing data exchange, and industries that work with sensitive data, such as healthcare and retail, depend on it. This paper discusses the integration of Salesforce Marketing Cloud (SFMC) with the healthcare and retail platforms by assessing the methods of data exchange for securing the data operating efficiency and ensuring adherence to stringent privacy regulations such as HIPAA and GDPR. While the technologies that touch upon privacy, such as AI-driven intrusion detection, quantum right-resistant encryption, and zero trust architecture, are new on the block, they are fast emerging as effective ways of keeping sensitive data in trust while still being exchanged. Since machine learning is used in AI intrusion detection systems, they can detect security threats proactively and mitigate them in real time, increasing breach response time. Being quantum resistant corresponds to the face of the advent of quantum computing, which puts traditional encryption methods at risk. Building on the principles of zero trust frameworks, security multiplies with continual verification of users and devices to lessen the risk of unmetered access. For instance, in the healthcare sector, these technologies guard Electronic Health Records (EHR) and remain firm within the regimes of regulatory frameworks. In retail, they keep bank accounts, payment histories, and customers' personal data in the loyalty programs. As technologies evolve, healthcare and retail companies should adapt to such forward-facing security strategies and adopt zero-trust models, AI, and quantum encryption to stay ahead of the foreseeable threats. This article provides insight into these technologies as practical solutions that will allow us to secure the data exchange processes, ensure compliance, and retain consumer trust in the increasingly complex digital environment.

Journal of Information Systems Engineering & ManagementVol. 10(23s)
Openalex Percentile: Top 92%
Big Data and Business Intelligence
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