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Today, cyber security has attracted the attention of the world. Security-related issues have turned out to be more common and often successful. No one has been spared. Threat modeling is proposed as an effective solution to securing applications developing complex security infrastructure. This model is integrated with security monitoring and evaluation processes that dully make a proactive and strong bond that assures security. Threat modeling is a domain that uses state of the art ground to offer strong protection systematically. It applied several techniques to assure security and protect organization resources. The ability to predict attack is one of them and has a critical approach that this process applies (Fruhlinger, 2020).

Predicting processes is done by a team of IT professional who has the knowledge and skills based on the model application. This model is dynamic, and processes and applications used may vary from one point to another. The different organization may have different approaches to mitigating risk through predict model. In a broad scope, cyber security professionals use systematic and repressive structuring to identify zones that could be having exposure and, after that, introducing a support system that matches the security requirement. To achieve this process, the said threat modeler's walk through a series of successful events following concentrated events to have a full understanding of the vulnerability exposure and major risk facing the system. They try to seal all loopholes that have been identified using more authorization and authentication processes, added configuration alongside others (John Burnham, 2018).

There is a wide range of advantages that are related that are associated with threat intelligence. The digital-based industry that has applied this model must have realized an additional and supportive advantage in the industry. There is added advantage of automation and great connectedness through an architectural change. Planning and direction auctioning procedures enable the organization to have the right adjustments. The collection of raw data, processing power, and the protection of raw codes add integrity and confidentiality in the organization. Ideally, the process is likely to have a systemic, tactical, and operational consideration, which raises security in high tech and progressive aspects. Modeling practice enables the ability to limit access to resources using several ways. They include decomposing the application infrastructure and having additional countermeasures and mitigations. As a result, an organization can be able to detect any form of attack and threat, rank them and initialize an architectural process that will help in attaining a high and profiled system that free from attack (Lagerström Robert, 2019).

When business and organization have typically applied this model, all resources and significant elements are taken care of. This means that major points of exposure where an attack can be launched have additional security procedures. Modeling helps in attaining major principles of security procedures. The firm attains confidentiality, integrity, and availability of data upon request. Cloud database and cloud-based storage are well protected. This limits attackers who may launch a malicious attack and alter data and critical information. Consequently, forecasting threat events and entities play a major role in improving security architecture.

References

Fruhlinger, J. (2020). Threat modeling explained: A process for anticipating cyber attacks. Retrieved from https://www.csoonline.com/article/3537370/threat-modeling-explained-a-process-for-anticipating-cyber-attacks.html

John Burnham. (2018, August 24). What are the top benefits of security intelligence? Retrieved from https://securityintelligence.com/what-are-the-benefits-of-security-intelligence/

Lagerström Robert. (2019, June 13). Threat intelligence: Everything you need to know. Retrieved from https://www.recordedfuture.com/threat-intelligence/