Best Practices for Managing Privileged Access in Your Organization

Authors

  • Sairamesh Konidala Vice President at JPMorgan & Chase, USA Author

Keywords:

Privileged Access Management (PAM), cybersecurity

Abstract

Abstract:
Managing privileged access is a crucial component of any organization's cybersecurity strategy, as it safeguards the most sensitive systems and data against internal and external threats. Privileged accounts hold elevated permissions, granting their users access to critical functions that, if compromised, could lead to significant security breaches. Best practices for managing privileged access focus on minimizing the risks associated with these powerful accounts by implementing strict controls and monitoring mechanisms. A robust privileged access management (PAM) framework includes essential practices such as least privilege, role-based access control (RBAC), multi-factor authentication (MFA), and session monitoring. The principle of least privilege ensures that users only receive the access necessary for their tasks, reducing the likelihood of misuse or accidental exposure. Role-based access control limits access by assigning permissions based on job responsibilities, reducing dependency on individual privileged accounts. Multi-factor authentication adds an extra layer of security, making unauthorized access significantly more challenging. Session monitoring provides real-time insights into user activities, enabling organizations to detect and respond swiftly to suspicious behavior. Additionally, regular audits and periodic reviews of privileged accounts ensure compliance with evolving security policies and help identify any redundant or high-risk permissions. Implementing these best practices strengthens the security of privileged accounts and builds a culture of accountability within the organization. By proactively managing and monitoring privileged access, organizations can reduce the potential attack surface, minimize insider threats, and safeguard valuable assets against cyberattacks. Adopting a layered, comprehensive approach to privileged access management is essential for maintaining a resilient security posture in an increasingly digital business landscape.

Downloads

Download data is not yet available.

References

Barker, E., & Barker, W. (2018). Recommendation for key management, part 2: best practices for key management organization (No. NIST Special Publication (SP) 800-57 Part 2 Rev. 1 (Draft)). National Institute of Standards and Technology.

Epstein, M. J. (2018). Making sustainability work: Best practices in managing and measuring corporate social, environmental and economic impacts. Routledge.

Hershatter, A., & Epstein, M. (2010). Millennials and the world of work: An organization and management perspective. Journal of business and psychology, 25, 211-223.

Schweyer, A. (2010). Talent management systems: Best practices in technology solutions for recruitment, retention and workforce planning. John Wiley & Sons.

Ardichvili, A., Page, V., & Wentling, T. (2003). Motivation and barriers to participation in virtual knowledge‐sharing communities of practice. Journal of knowledge management, 7(1), 64-77.

Stoneburner, G., Goguen, A., & Feringa, A. (2002). Risk management guide for information technology systems. Nist special publication, 800(30), 800-30.

Hunt, C. B., & Auster, E. R. (1990). Proactive environmental management: avoiding the toxic trap. MIT Sloan Management Review, 31(2), 7.

Bhatt, G. D. (2001). Knowledge management in organizations: examining the interaction between technologies, techniques, and people. Journal of knowledge management, 5(1), 68-75.

Nahapiet, J., & Ghoshal, S. (1998). Social capital, intellectual capital, and the organizational advantage. Academy of management review, 23(2), 242-266.

Kotler, P., & Lee, N. (2008). Corporate social responsibility: Doing the most good for your company and your cause. John Wiley & Sons.

Victorian Stormwater Committee. (1999). Urban stormwater: best-practice environmental management guidelines. CSIRO publishing.

O’dell, C. (1998). If Only We Knew What We Know: the Transfer of Internal Knowledge and Best Practice. The Free Press.

Dellinger, R. P., Levy, M. M., Rhodes, A., Annane, D., Gerlach, H., Opal, S. M., ... & Surviving Sepsis Campaign Guidelines Committee including the Pediatric Subgroup. (2013). Surviving sepsis campaign: international guidelines for management of severe sepsis and septic shock: 2012. Critical care medicine, 41(2), 580-637.

Gherardi, S. (2000). Practice-based theorizing on learning and knowing in organizations. Organization, 7(2), 211-223.

Krafzig, D., Banke, K., & Slama, D. (2005). Enterprise SOA: service-oriented architecture best practices. Prentice Hall Professional.

Gade, K. R. (2020). Data Mesh Architecture: A Scalable and Resilient Approach to Data Management. Innovative Computer Sciences Journal, 6(1).

Gade, K. R. (2020). Data Analytics: Data Privacy, Data Ethics, Data Monetization. MZ Computing Journal, 1(1).

Immaneni, J. (2020). Cloud Migration for Fintech: How Kubernetes Enables Multi-Cloud Success. Innovative Computer Sciences Journal, 6(1).

Boda, V. V. R., & Immaneni, J. (2019). Streamlining FinTech Operations: The Power of SysOps and Smart Automation. Innovative Computer Sciences Journal, 5(1).

Nookala, G., Gade, K. R., Dulam, N., & Thumburu, S. K. R. (2020). Automating ETL Processes in Modern Cloud Data Warehouses Using AI. MZ Computing Journal, 1(2).

Nookala, G., Gade, K. R., Dulam, N., & Thumburu, S. K. R. (2020). Data Virtualization as an Alternative to Traditional Data Warehousing: Use Cases and Challenges. Innovative Computer Sciences Journal, 6(1).

Katari, A. (2019). ETL for Real-Time Financial Analytics: Architectures and Challenges. Innovative Computer Sciences Journal, 5(1).

Katari, A. (2019). Data Quality Management in Financial ETL Processes: Techniques and Best Practices. Innovative Computer Sciences Journal, 5(1).

Komandla, V. Enhancing Security and Fraud Prevention in Fintech: Comprehensive Strategies for Secure Online Account Opening.

Komandla, V. Transforming Financial Interactions: Best Practices for Mobile Banking App Design and Functionality to Boost User Engagement and Satisfaction.

Thumburu, S. K. R. (2020). Large Scale Migrations: Lessons Learned from EDI Projects. Journal of Innovative Technologies, 3(1).

Thumburu, S. K. R. (2020). Enhancing Data Compliance in EDI Transactions. Innovative Computer Sciences Journal, 6(1).

Nookala, G., Gade, K. R., Dulam, N., & Thumburu, S. K. R. (2019). End-to-End Encryption in Enterprise Data Systems: Trends and Implementation Challenges. Innovative Computer Sciences Journal, 5(1).

Gade, K. R. (2017). Integrations: ETL/ELT, Data Integration Challenges, Integration Patterns. Innovative Computer Sciences Journal, 3(1).

Gade, K. R. (2017). Migrations: Challenges and Best Practices for Migrating Legacy Systems to Cloud-Based Platforms. Innovative Computer Sciences Journal, 3(1).

Babulal Shaik. Network Isolation Techniques in Multi-Tenant EKS Clusters. Distributed Learning and Broad Applications in Scientific Research, vol. 6, July 2020

Muneer Ahmed Salamkar. Real-Time Data Processing: A Deep Dive into Frameworks Like Apache Kafka and Apache Pulsar. Distributed Learning and Broad Applications in Scientific Research, vol. 5, July 2019

Muneer Ahmed Salamkar, and Karthik Allam. “Data Lakes Vs. Data Warehouses: Comparative Analysis on When to Use Each, With Case Studies Illustrating Successful Implementations”. Distributed Learning and Broad Applications in Scientific Research, vol. 5, Sept. 2019

Muneer Ahmed Salamkar. Data Modeling Best Practices: Techniques for Designing Adaptable Schemas That Enhance Performance and Usability. Distributed Learning and Broad Applications in Scientific Research, vol. 5, Dec. 2019

Muneer Ahmed Salamkar. Batch Vs. Stream Processing: In-Depth Comparison of Technologies, With Insights on Selecting the Right Approach for Specific Use Cases. Distributed Learning and Broad Applications in Scientific Research, vol. 6, Feb. 2020

Muneer Ahmed Salamkar, and Karthik Allam. Data Integration Techniques: Exploring Tools and Methodologies for Harmonizing Data across Diverse Systems and Sources. Distributed Learning and Broad Applications in Scientific Research, vol. 6, June 2020

Naresh Dulam. Machine Learning on Kubernetes: Scaling AI Workloads . Distributed Learning and Broad Applications in Scientific Research, vol. 2, Sept. 2016, pp. 50-70

Naresh Dulam. Data Lakes Vs Data Warehouses: What’s Right for Your Business?. Distributed Learning and Broad Applications in Scientific Research, vol. 2, Nov. 2016, pp. 71-94

Naresh Dulam, et al. Kubernetes Gains Traction: Orchestrating Data Workloads. Distributed Learning and Broad Applications in Scientific Research, vol. 3, May 2017, pp. 69-93

Naresh Dulam, et al. Apache Arrow: Optimizing Data Interchange in Big Data Systems. Distributed Learning and Broad Applications in Scientific Research, vol. 3, Oct. 2017, pp. 93-114

Naresh Dulam, and Venkataramana Gosukonda. Event-Driven Architectures With Apache Kafka and Kubernetes. Distributed Learning and Broad Applications in Scientific Research, vol. 3, Oct. 2017, pp. 115-36

Sarbaree Mishra, et al. Improving the ETL Process through Declarative Transformation Languages. Distributed Learning and Broad Applications in Scientific Research, vol. 5, June 2019

Sarbaree Mishra. A Novel Weight Normalization Technique to Improve Generative Adversarial Network Training. Distributed Learning and Broad Applications in Scientific Research, vol. 5, Sept. 2019

Sarbaree Mishra. “Moving Data Warehousing and Analytics to the Cloud to Improve Scalability, Performance and Cost-Efficiency”. Distributed Learning and Broad Applications in Scientific Research, vol. 6, Feb. 2020

Sarbaree Mishra, et al. “Training AI Models on Sensitive Data - the Federated Learning Approach”. Distributed Learning and Broad Applications in Scientific Research, vol. 6, Apr. 2020

Sarbaree Mishra. “Automating the Data Integration and ETL Pipelines through Machine Learning to Handle Massive Datasets in the Enterprise”. Distributed Learning and Broad Applications in Scientific Research, vol. 6, June 2020

Downloads

Published

04-07-2021

How to Cite

[1]
Sairamesh Konidala, “Best Practices for Managing Privileged Access in Your Organization”, J. of Artificial Int. Research and App., vol. 1, no. 2, pp. 557–576, Jul. 2021, Accessed: Dec. 29, 2024. [Online]. Available: https://aimlstudies.co.uk/index.php/jaira/article/view/337

Similar Articles

1-10 of 141

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