The Need for Continuous and Agile Threat Modeling

In today’s agile development landscape, where cloud-based software is constantly evolving and deployed at unprecedented speed, traditional, manual threat modeling is no longer enough. As development teams iterate quickly and deploy in real-time, requirements and architecture changes rapidly, creating potential gaps in security that static threat models simply cannot keep up with. This has paved the way for continuous and agile threat modeling—a real-time approach to identifying, assessing, and mitigating risks early in the software lifecycle.
September 12, 2024

In today’s agile development landscape, where cloud-based software is constantly evolving and deployed at unprecedented speed, traditional, manual threat modeling is no longer enough. As development teams iterate quickly and deploy in real-time, requirements and architecture changes rapidly, creating potential gaps in security that static threat models simply cannot keep up with. This has paved the way for continuous and agile threat modeling—a real-time approach to identifying, assessing, and mitigating risks early in the software lifecycle.

Why Continuous Threat Modeling?

Modern applications are often built and deployed through CI/CD pipelines, allowing developers to ship new features rapidly. However, this speed can introduce risks if security measures do not evolve at the same pace. Continuous threat modeling addresses this by providing a real-time assessment of risks as code is written, deployed, and updated. Instead of relying on a static snapshot of an application, continuous threat modeling ensures that security insights evolve alongside the application—catching changes that impact security early in the life cycle.

Continuous Threat Modeling in Practice

Continuous threat modeling goes beyond identifying vulnerabilities at a specific moment. It involves establishing a baseline and then monitoring the architecture (not the infrastructure - an important distinction) for changes and continuously mapping potential risks back to the application’s evolving structure. By transforming operational views into threat models that track these changes, teams can ensure that their security strategies remain effective even as the application evolves and grows more complex.

For many organizations, threat modeling, let alone continuous threat modeling, is an irregular activity given its labor intensive nature and the need to draw expertise from already overburdened and disparate teams (developers, SREs, architects, security, etc).

Recognizing the inherent challenges of continuous threat modeling of cloud-based applications, Heeler has developed an innovative solution that overcomes these obstacles and enables continuous and agile threat modeling.

  1. Automated Decomposition with ProductDNA: Heeler’s patent-pending ProductDNA technology automates the decomposition of complex, cloud-based applications. By connecting directly to Source Code Management (SCM) systems and Cloud Service Providers (CSPs), Heeler continuously monitors and maps out the application’s architecture, no matter how dynamic or distributed it may be. This automation provides an accurate, real-time view of the application’s components, trust boundaries, and data flows, eliminating the manual effort and reducing the risk of human error.
  2. Unified Context Across Code, Runtime, and Business Logic: Heeler unifies the critical contexts of code, runtime, and business logic, providing a comprehensive understanding of how different components interact within the application. This unified view ensures that all aspects of the application are considered in the threat modeling process, making it easier to identify potential vulnerabilities across the entire system.
  3. Continuous Vulnerability and Risk Correlation: Heeler continuously updates and correlates vulnerabilities, secrets, sensitive data, and API enumeration with the application’s specific attack surface. This ensures that all potential risks are accurately mapped and prioritized in real time, allowing security teams to focus on the most critical issues as they arise.
  4. Handling Ephemeral Infrastructure: Heeler’s automated approach is designed to handle the transient nature of cloud infrastructure. By capturing the state of ephemeral components as they exist within the live environment, Heeler ensures that no part of the application is overlooked, even if it only exists for a short period.
  5. Reducing the Need for Specialized Expertise: With Heeler’s automated threat modeling capabilities, the reliance on specialized security expertise and a substantial amount of manual labor is drastically reduced. The platform’s automation handles the complex and labor-intensive aspects of threat modeling, allowing security teams to focus on interpreting the results and implementing effective mitigations rather than getting bogged down in manual processes.

The Benefits of Continuous Threat Modeling

By adopting a continuous threat modeling approach, organizations can:

  • Catch security risks earlier in the development process, reducing the cost and time associated with remediation.
  • Reduce drift not based on changing requirements by ensuring that security models are kept up-to-date as the application evolves.
  • Enable developers to understand the security impact of changes during the coding process, enabling them to build secure applications by design.
  • Build customer trust by ensuring that your application remains secure and resilient, even as it evolves, providing assurance that customer data and services are protected.

Continuous and dynamic threat modeling is no longer just a vision—it’s a reality thanks to Heeler. This not only ensures more secure applications but also enhances efficiency, reduces costs, and, ultimately, builds lasting customer trust. The future of AppSec is here, and it's driven by continuous, agile, and proactive security strategies.

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