Cloud based security using Einstein AI in Salesforce

  • Unique Paper ID: 176424
  • PageNo: 7421-7431
  • Abstract:
  • Salesforce is a leading cloud-based customer relationship management (CRM) platform that offers a variety of tools and services to help businesses manage their customer relationships and interactions. As more and more organizations rely on cloud-based solutions, ensuring proper security on platforms like Salesforce is critical. This review examines the cloud-based security measures adopted by Salesforce, focusing on the framework, tools, and strategies used to protect sensitive data. It also highlights the importance of security, details the recommended process, and discusses the pros and cons of Salesforce security practices before concluding on the overall benefits of Salesforce security practices. Cloud-based platforms like Salesforce have become indispensable to today’s business world by providing large-scale solutions for managing customer data and interactions. However, the increasing reliance on cloud services also brings with it significant security challenges. This article provides a comprehensive review of the cloud-based security measures implemented by Salesforce, highlights the importance of protecting sensitive data, outlines the adopted security framework, and discusses the pros and cons of these measures. Due to increasing threats and strict regulations, the initial review focuses on the critical need for security in the cloud environment. We then examine Salesforce’s security framework, including Salesforce Shield, which offers advanced capabilities such as event monitoring, on-site auditing, and platform access. This article also covers technology for security measures, mobile app security to protect data at every end, and the Privacy Centre for easy management information and compliance.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{176424,
        author = {Anup Narendra Gatkal and Dr. Rachna Somkunwar},
        title = {Cloud based security using Einstein AI in Salesforce},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {7421-7431},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176424},
        abstract = {Salesforce is a leading cloud-based customer relationship management (CRM) platform that offers a variety of tools and services to help businesses manage their customer relationships and interactions. As more and more organizations rely on cloud-based solutions, ensuring proper security on platforms like Salesforce is critical. This review examines the cloud-based security measures adopted by Salesforce, focusing on the framework, tools, and strategies used to protect sensitive data. It also highlights the importance of security, details the recommended process, and discusses the pros and cons of Salesforce security practices before concluding on the overall benefits of Salesforce security practices. Cloud-based platforms like Salesforce have become indispensable to today’s business world by providing large-scale solutions for managing customer data and interactions. However, the increasing reliance on cloud services also brings with it significant security challenges. This article provides a comprehensive review of the cloud-based security measures implemented by Salesforce, highlights the importance of protecting sensitive data, outlines the adopted security framework, and discusses the pros and cons of these measures. Due to increasing threats and strict regulations, the initial review focuses on the critical need for security in the cloud environment. We then examine Salesforce’s security framework, including Salesforce Shield, which offers advanced capabilities such as event monitoring, on-site auditing, and platform access. This article also covers technology for security measures, mobile app security to protect data at every end, and the Privacy Centre for easy management information and compliance.},
        keywords = {Cloud security, customer relationship management (CRM), data protection, data encryption, Salesforce Shield, event monitoring, on-site audit trail, data anonymization, mobile app security, privacy.},
        month = {April},
        }

Cite This Article

Gatkal, A. N., & Somkunwar, D. R. (2025). Cloud based security using Einstein AI in Salesforce. International Journal of Innovative Research in Technology (IJIRT), 11(11), 7421–7431.

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