Threat modeling
Also written: Threat Model
Identifying potential threats and vulnerabilities in AI systems to guide safety testing and development.
Threat modeling is like being a detective for an AI. You try to imagine all the ways someone could misuse the AI or how it might accidentally cause harm. This helps developers know where to focus their efforts to make the AI safer.
For example, if an AI can write stories, a threat model might consider if someone could use it to generate hate speech or spread misinformation. Knowing these potential problems ahead of time allows the creators to build in safeguards.
Threat modeling is a structured process for identifying potential threats, vulnerabilities, and risks to an AI system. It involves analyzing the system's design, intended use, and potential attack vectors to anticipate failures or malicious exploitation. The goal is to proactively inform safety measures, testing strategies, and mitigation efforts by prioritizing areas of highest concern.
This process often involves brainstorming potential harms, mapping attack paths, and assessing the likelihood and impact of identified threats. It's a critical component of responsible AI development, complementing other safety practices like red teaming and formal verification.
Frontier AI labs are increasingly focused on identifying and mitigating potential harms from their advanced models. As AI systems become more capable, understanding and addressing how they could be misused or fail becomes critical for responsible development and deployment. This proactive approach to security and safety is highlighted by efforts to automate risk discovery and improve testing methods.
- Mistral Large 4 🧠, OpenAI Decisions API ❓, Nano Banana 2.1 🍌OpenAI · TLDR AI ·
- A new skill finds AI agent risks, fixes them, and proves the fix workedMicrosoft · Microsoft Source ·
- Scaling cyber defenders with DaybreakOpenAI · OpenAI Developers Blog ·
- Advancing red teaming with people and AIOpenAI · OpenAI News ·
- A new initiative for developing third-party model evaluationsAnthropic · Anthropic News ·
- Anthropic Claude
- Anthropic is funding third-party evaluations to assess AI model safety and capabilities, which involves understanding potential threats.
- Microsoft Copilot
- Microsoft Copilot is developing tools to automatically find and fix risks in AI agents, demonstrating a focus on threat modeling for AI systems.
- OpenAI ChatGPT
- OpenAI is advancing its methods for testing frontier models, including using AI and human red teaming to identify vulnerabilities and potential threats.
- Red teaming
- Red teaming is a specific type of adversarial testing, often inform
- Vulnerability assessment
- Vulnerability assessment is a broader term for identif
- Risk management
- Risk management is a wider discipline that includes threat mode
Threat modeling originated in the field of computer security, with early formalizations appearing in the late 1990s and early 2000s. It was developed to systematically identify and address security risks in software and systems. Source ↗
Ask an AI assistant to list potential ways a chatbot could be misused to spread misinformation. Then, ask it to suggest safeguards against those specific misuses. This simple exercise mimics the core idea of identifying harms and thinking about mitigations.
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- PromptRole-play a student struggling with math for AI tutor simulationSimulate a student's math struggles and uncertainty for AI tutor evaluation. · 5 min
- TemplateReusable workflow templates for healthcare teamsTeams can create and share templates for common workflows like documentation or prior authorizations. · 15 min
- TemplateTemplate for building an AI tool tailored to your workA structured approach to defining and building a custom AI tool for specific business needs. · 15 min
- TemplateEvals CSV prompt list for agent skillsA CSV file template for listing prompts used in evaluating agent skills. · 20 min
- HeuristicDouble coding agent task completion with docs linksProviding coding agents with a documentation link significantly increases their task completion rate. · 2 min
Questions people ask
- What's the difference between threat modeling and red teaming?
- Threat modeling is the process of identifying potential threats and vulnerabilities. Red teaming is an active testing process where a team tries to exploit those identified threats to see if they are real.
- Is threat modeling only for security?
- While it originated in security, threat modeling is now widely used in AI safety to identify potential harms, misuse, and unintended consequences beyond just malicious attacks.
First seen on Subvolts Sep 10, 2024. Updated Oct 13, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.