The AI Risk Stack: Data, Prompts, Outputs, Tools, Agents, and Users
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← Back to AI Security / Risk HubAI Risk Has Layers
AI risk is easier to manage when you separate it into layers. The AI Risk Stack includes data, prompts, outputs, tools, agents, permissions, and users. Each layer can create problems if it is ignored.
Data Risk
Data risk starts with what users paste, upload, connect, or retrieve. Sensitive data, customer records, credentials, contracts, internal documents, and private messages need clear handling rules.
Prompt and Output Risk
Prompts can reveal sensitive context, and outputs can be wrong, biased, overconfident, or unsafe. Review matters because AI can sound certain even when it is incorrect.
Tool and Agent Risk
The risk increases when AI can use tools, call APIs, search internal systems, send messages, create files, or take actions. Tool access should follow least privilege and require approval for sensitive actions.
User Risk
People create risk when they overtrust AI, skip verification, paste sensitive data, or use unapproved tools. Training and simple rules are part of security.
The AI Risk Stack gives teams a shared language for deciding where safeguards belong.
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