Can Threat Modeler Deliver on Its Promise and Fully Secure Cloud Computing?

With the emergence of new technology come the increasing threat of cyber attacks over time. As high-speed Internet pushes our data deeper into cyberspace, the chances of damage, theft, or disruption are increasing. To combat threats in a high-stakes environment, it is necessary to have some form of defense strategy, with assessment, in place. This is where threat modeling comes into play.

 

 

Threat modeling is the process of assessing the threats in an organization’s IT infrastructure, suggesting steps and security controls to address them to reduce the likelihood of a cyber attack or data breach. The process helps companies to better understand their attack surface, and secure business data across their systems, applications, networks, devices and IoT-embedded machinery. Threat Modeler is one such software that is fully automated and can implement seamlessly into the existing IT infrastructure of a company. Once setup, within minutes Threat Modeler begins analyzing IT application components to automatically build process flow diagrams that help DevOps teams to assess security needs. Threat Modeler easily integrates with CI/CD pipeline tools such as Jira, to keep track of IT issues and assign prioritized mitigations.

 

 

Threat Modeler enables organizations to efficiently scale cyber security efforts across anorganization, providing a holistic view of the threats to which an entire IT infrastructure might succumb. It can also send completed threat models and assessment reports to stakeholders and senior executives (such as CISOs) for approval and validation sign offs.

 

 

An Amazon Web Services (AWS) Technology Partner, Threat Modeler integrated with the cloud services platform through its AWS Assist feature. Integration with AWS enables Dev Sec Ops teams to recreate an AWS simulation to better observe, analyze, and evaluate any risks that may exist in an actual AWS architecture environment. Through its handy Drift feature, it even observes any ongoing changes made in the environment and alerts users of any steps needed to address them.

 

 

As the user adds components or makes any changes to the threat model, AWS Assist automatically analyzes the changes against AWS architectural guidelines for the connected AWS Account. Knowing that certain security controls are necessary to build an architecture safe from threats, Threat Modeler automatically assigns new tasks for teams to complete.

 

 

As the only automated platform that provides this kind of integration automation with a focus on the AWS cloud,  Threat Modeler also works hand-in-hand with AWS Identity and Access Management (IAM) to ensure that the principle of least privilege access is enforced. Least privilege means that users should only be assigned with the bare minimum access to information and resources that is needed to complete their work. Threat Modeler enables users to measure the impact of assigning permission changes before making those changes to the actual, live AWS architecture.

 

 

Threat Modeler also helps to address edge cases, such as is the case of IoT-embedded medical devices that rely on local data centers. It makes use of process flow diagrams to calculate possible threats. As an award-winning service, it has complete faith in its powers and is also incredibly accurate in threat assessments.

 

 

Successful threat modeling is not a myth. It certainly is a distinct possibility. With proper automation, collaboration, and overall thorough integration such as that offered by Threat Modeler, it is easily possible to achieve successful threat modeling across an organization’s infrastructure.

 

 

 

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