AI Glossary
AI Threat Model
A structured approach used to identify, evaluate, and prioritize risks affecting AI systems.
AI Threat Model
Overview
Every system faces potential risks.
The challenge is determining which risks deserve attention and how they should be addressed.
This is where threat modeling becomes useful.
An AI Threat Model is a structured approach used to identify potential threats, evaluate their likelihood, assess their impact, and prioritize mitigation efforts.
A helpful way to think about threat modeling is planning a journey.
Before traveling, people often consider possible obstacles and determine how they will respond if problems arise.
Organizations use threat models in a similar way.
Rather than reacting to issues after they occur, they proactively evaluate what could realistically go wrong.
AI threat models may consider risks such as prompt injection, jailbreaking, data poisoning, model theft, unauthorized access, privacy concerns, and operational failures.
Threat modeling helps organizations focus resources where they can reduce risk most effectively.
As AI adoption continues to grow, threat modeling is becoming an increasingly important part of responsible AI governance and security programs.
Why It Matters
Threat modeling helps organizations identify and manage AI risks before problems occur.
Real-World Example
A company deploying an AI assistant may create a threat model to evaluate security, privacy, and operational risks before launch.