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This document outlines the operational policies and functions of AI agents assisting analysts, including their allowed and prohibited actions, model sources, and trust model.
1.2 KiB
1.2 KiB
Analyst Assist Agent Policy
This document defines how AI agents operate across applications.
Purpose of Agents
Agents exist to assist analysts by:
- Explaining system behavior
- Interpreting findings
- Suggesting investigative or operational next steps
- Highlighting risks, assumptions, and alternatives
Agents are collaborators, not decision-makers.
Allowed Agent Functions
Agents may:
- Summarize data and findings
- Answer analyst questions
- Propose plans or hypotheses
- Highlight inconsistencies or gaps
- Explain tool outputs
Agents may not:
- Execute tools or workflows
- Escalate findings to alerts autonomously
- Modify data models or contracts
- Act without analyst confirmation
Model Sources
Agents may use:
- Local LLMs
- Networked/shared LLM services
- Online hosted LLM APIs
No assumption is made about model provider or capability. All agents must degrade gracefully if a backend is unavailable.
Trust Model
- Agent output is advisory
- Analysts retain final authority
- Actions require explicit human approval
- All agent interactions are logged
Consistency Rule
Agent behavior and tone should be consistent across applications, even if implementation details differ.