Enhancing Salesforce Security: Employing Artificial Intelligence andAutomation for Strong Protection

Authors

  • Sandhya Rani Koppanathi Senior Salesforce Developer Author

DOI:

https://doi.org/10.47363/JAICC/2022(1)E121

Keywords:

Salesforce Security, Automation, Cybersecurity, Data Protection, Anomaly Detection, Threat Detection, Compliance, Insider Threats, AI-driven

Abstract

In today's digital age, businesses generally depend heavily on cloud-based platforms like Salesforce to manage client information and handle their regular activities. So, as the usage of these platforms grows, it also becomes necessary to implement increasingly sophisticated security measures in order to guard against attack from hackers. Such traditional protocols do not present a complete solution when it comes to contending with the many-sided nature of modern attacks. This paper looks at how AI and automation are integrated with Salesforce environments. Even in these circumstances, businesses can enhance their defenses against data breaches, unauthorized access, and insider threats by means of AI-driven anomaly analysis, automated incident response systems and threat detection capabilities. This paper shows case studies and practical implementations of AI and automation in pointing to exceptional vulnerabilities, automating security operations and adhering to regulatory standards. The paper intends to give direction for future Salesforce
security, highlighting the importance of AI and automation in safeguarding privacy and protecting customer trust.

Author Biography

  • Sandhya Rani Koppanathi, Senior Salesforce Developer

    Sandhya Rani Koppanathi, Senior Salesforce Developer, USA.

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Published

2022-09-19

How to Cite

Enhancing Salesforce Security: Employing Artificial Intelligence andAutomation for Strong Protection. (2022). Journal of Artificial Intelligence & Cloud Computing, 1(3), 1-6. https://doi.org/10.47363/JAICC/2022(1)E121

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