A Comprehensive Analysis of Automated Threat Modeling Solution Company: Threat Modeler Software, Inc.

Author:

Pai Santosh1,Kunte Srinivasa Rao2

Affiliation:

1. Research Scholar, Institute of Computer Science and Information Science, Srinivas University, Mangalore, India.

2. Faculty, Institute of Computer Science and Information Science, Srinivas University, Mangalore, India.

Abstract

Purpose: Effective Security Threat modeling in an enterprise depends on the efficient tools used for modeling. The Threat modeling tool market has multiple players that provide platforms to automate the Threat modeling process in enterprises. Threat Modeler Software, Inc. is one such platform provider company. The paper aims to explore the company and its platform's features. Design/Methodology/Approach: This paper explores the documentation available on Threat Modeler Software, Inc. to understand the features, working principles, and company information. Features are further explored by performing hands-on Threat modeling using the trial edition of the platform. SWOC analysis of the company is performed to analyze the factors affecting the company as a Threat modeling platform provider. Findings/Result: Threat Modeler Software, Inc.’s platform has innovative features that enable automated Threat modeling. SWOC analysis has identified some of the challenges that the company has. The competitor list showed commercial and open-source competitors in the race to create Threat modeling platforms. The innovative culture of the Threat Modeler Software, Inc. must continue to provide new features making the Threat modeling experience unique. Originality/Value: This paper studies Threat Modeler platform's architecture and explores important features of the platform. Capabilities of the features and their importance is studied. SWOC analysis is performed to identify factors affecting the company. A list of different threat modeling platforms is built to understand the current competitors for Threat Modeler Software, Inc. Paper Type: Case Study.

Publisher

Srinivas University

Subject

General Medicine

Reference29 articles.

1. Chernyakov, M., & Chernyakova, M. (2018). Technological Risks of the Digital Economy. Journal of Corporate Finance Research / Корпоративные Финансы, 12(4), 99–109.

2. Brundage, M. (2018). The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation. Accessed on 28/01/2022.

3. Sigler, K. (2018). Crypto-jacking: How cyber-criminals are exploiting the crypto-currency boom. Computer Fraud & Security, 2018(9), 12–14.

4. Ollmann, G. (2008). Hacking as a service. Computer Fraud & Security, 2008(12), 12–15.

5. Nazir, N., & Nazir, M. K. (2018). A review of security issues in SDLC. American Academic Scientific Research Journal for Engineering, Technology, and Sciences, 46(1), 247-259.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3