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WHITE PAPER

AI and cloud-native development have accelerated how systems are built, while making them harder to secure over time. As a result, the traditional build-versus-buy decision for threat modeling now includes a third option: using AI directly.

Organizations typically consider three approaches:

• Build an internal solution – Offers flexibility and control, and can work for narrow use cases or small teams. Over time, internal tools require sustained effort to maintain accuracy,
governance, and alignment as architectures and frameworks evolve.

• Use AI or LLMs directly – Provides fast, low-friction support for early exploration, learning, and ideation. These approaches excel at speed, but lack architectural grounding, repeatability, and governance required for long-term or audit-driven use.

• Buy a purpose-built platform – Delivers consistent, governed threat modeling grounded in real architecture. Platforms reduce operational overhead and support scale, collaboration, and secure-by-design practices across complex environments.

This paper examines the tradeoffs across all three paths to help organizations choose an approach that remains effective as systems, teams, and security requirements continue to evolve.

Download the White Paper now to read more.