Reducing Security Vulnerabilities with Encryption, IAM, and Regular Audits

Authors

  • Shiva Santosh Allenki Software Engineer at UnitedHealth Group (OPTUM), USA. Author

DOI:

https://doi.org/10.63282/3050-9246.IJETCSIT-V4I1P127

Keywords:

Cybersecurity, Encryption, Identity and Access Management (IAM), Security Audits, Data Protection, Vulnerability Reduction, Risk Assessment

Abstract

Minimizing security vulnerabilities is fundamental for any organization that wants to be customer-centric and data-driven in the current digital environment. This research investigates how Encryption, Identity and Access Management (IAM), and Regular Security Audits constitute a single framework for mounting cybersecurity resilience. Encryption is the primary security tactic that ensures data confidentiality and integrity by making data indecipherable to unauthorized entities in a very simple way, thus in a very effective manner it eliminates various security risks in the event of eavesdropping or break-in. On their side, IAM is a technology that assures access to specific systems and resources are granted only to authenticated users following the principle of least privilege, which helps in the drastic reduction of the insider threats that might slip silos of detection and in eliminating the abuse of privilege. Conducting regular security audits is a good practice that leads to the sustainment of security measures taken through continuous monitoring of controls, detection of new vulnerabilities, and assessment of security policies and compliance with regulations. The methodology that this paper implements to derive its conclusions consists of the analytical review of industry best practices, the comparative analysis of encryption protocols, the assessment of possible implementation models of IAM, and the observation of audit-driven vulnerability remediation through organizational case studies. The results demonstrate that the organizations where these three CSF components are implemented reap tremendous benefits in the form of significantly less security incidents, faster incident response times, and easier regulatory compliance. In addition, the compounded effect of these measures leads to a proactive security posture that allows continuous improvement and adaptive defense rather than a reactive one.

Downloads

Download data is not yet available.

References

[1] UZOKA, ABEL CHUKWUEMEKE, et al. "Advances in Cloud Security Practices Using IAM, Encryption, and Compliance Automation." Iconic Research and Engineering Journals 5.5 (2021): 432-456.

[2] Anderson, Jessie, and An Nguyen. "The Role of Identity and Access Management (IAM) in Securing Cloud Workloads." ResearchGate December (2022).

[3] Achar, Sandesh. "Cloud computing security for multi-cloud service providers: Controls and techniques in our modern threat landscape." International Journal of Computer and Systems Engineering 16.9 (2022): 379-384.

[4] Mohammed, Ishaq Azhar. "Systematic review of identity access management in information security." International Journal of Innovations in Engineering Research and Technology 4.7 (2017): 1-7.

[5] Parakala, Adityamallikarjunkumar, and Jyothirmay Swain. "AI‑Powered Intelligent Automation Emerges." International Journal of Artificial Intelligence, Data Science, and Machine Learning 3.4 (2022): 96-106.

[6] Ali, Usman. "CYBERSECURITY IN CLOUD COMPUTING: MITIGATING RISKS AND ENHANCING PROTECTION." Computer Science Bulletin 4.01 (2021): 35-44.

[7] Afifi, Mohammed AM. "Assessing information security vulnerabilities and threats to implementing security mechanism and security policy audit." Journal of Computer Science 16.3 (2020): 321-329.

[8] Kumar Doodala, Appala Nooka, and Swathi Thatraju. “NLP-Driven Benefits Interpretation Engine for Personalized Member Communication”. International Journal of Artificial Intelligence, Data Science, and Machine Learning, vol. 3, no. 1, Mar. 2022, pp. 173-8

[9] Uddin, Mumina, and David Preston. "Systematic review of identity access management in information security." Journal of Advances in Computer Networks 3.2 (2015): 150-156.

[10] Mohammad, Naseemuddin. "Enhancing security and privacy in multi-cloud environments: A comprehensive study on encryption techniques and access control mechanisms." International Journal of Computer Engineering and Technology (IJCET) 12.2 (2021): 51-63.

[11] Muppaneni, Rajarshi Krishna. “From Legacy ERP to Cloud-First: A Transformation Story With Dynamics 365”. International Journal of Emerging Research in Engineering and Technology, vol. 3, no. 4, Dec. 2022, pp. 153-64.

[12] Pompon, Raymond. IT Security Risk Control Management: An Audit Preparation Plan. Apress, 2016.

[13] Gaddam, Rohit Reddy. “Advanced Data & Model Drift Detection at Scale”. International Journal of AI, BigData, Computational and Management Studies, vol. 3, no. 2, June 2022, pp. 124-36

[14] Parakala, Adityamallikarjunkumar. "Integrating Salesforce and UiPath: Cross-System Intelligent Automation." International Journal of Emerging Trends in Computer Science and Information Technology 3.4 (2022): 88-99.

[15] Alsirhani, Amjad, Mohamed Ezz, and Ayman Mohamed Mostafa. "Advanced Authentication Mechanisms for Identity and Access Management in Cloud Computing." Computer Systems Science & Engineering 43.3 (2022).

[16] Sola, Sreenivasa Rao. "Security Roles and Privileges in Oracle Cloud ERP: Key Strategies for Secure Access Management." IJLRP-International Journal of Leading Research Publication 3.7 (2022).

[17] Muppaneni, Kavya. “Comparative Analysis of Client-Side Storage Mechanisms”. International Journal of AI, BigData, Computational and Management Studies, vol. 3, no. 1, Mar. 2022, pp. 171-82.

[18] Kaul, Deepak, and Rahul Khurana. "AI to detect and mitigate security vulnerabilities in APIs: encryption, authentication, and anomaly detection in enterprise-level distributed systems." Eigenpub Review of Science and Technology 5.1 (2021): 34-62.

[19] Katangoori, Sivadeep, and Sushil Deore. "Lakehouse Architecture and the Semantic Revolution: Bridging Analytics and Governance With AI." The Distributed Learning and Broad Applications in Scientific Research 8 (2022): 275-300.

[20] Anilkumar, Chunduru, and S. Sumathy. "Security strategies for cloud identity management—A study." International Journal of Engineering & Technology 7.2 (2018): 732-741.

[21] Owobu, Wilfred Oseremen, et al. "Conceptual Framework for Deploying Data Loss Prevention and Cloud Access Controls in Multi-Layered Security Environments." Int. J. Multidiscip. Res. Growth Eval 3.1 (2022): 850-860.

[22] Suryadevara, Siva Sai Krishna. “Knowledge-Graph-Enabled Tagging and Taxonomy Automation Framework”. American International Journal of Computer Science and Technology, vol. 4, no. 1, Jan. 2022, pp. 77-89.

[23] Kitchin, Rob, and Martin Dodge. "The (in) security of smart cities: Vulnerabilities, risks, mitigation, and prevention." Smart cities and innovative Urban technologies. Routledge, 2020. 47-65.

Published

2023-03-30

Issue

Section

Articles

How to Cite

1.
Allenki SS. Reducing Security Vulnerabilities with Encryption, IAM, and Regular Audits. IJETCSIT [Internet]. 2023 Mar. 30 [cited 2026 Jun. 1];4(1):265-7. Available from: https://ijetcsit.org/index.php/ijetcsit/article/view/736

Similar Articles

1-10 of 552

You may also start an advanced similarity search for this article.