BasicAgent
AI Risk Framework
A lightweight AI risk framework for assessing, mitigating, and monitoring AI systems in production.
An AI risk framework defines how you identify, prioritize, and mitigate risks across AI systems.
Framework steps
- inventory AI systems and owners
- assess risks by impact and likelihood
- implement controls and approvals
- monitor outcomes and update policies
Related pages
- AI risk management:
/ai-risk-management/ - AI risk assessment framework:
/ai-risk-assessment-framework/ - AI risk mitigation:
/ai-risk-mitigation/
Create account
Build narrative
Follow a coherent path from thesis to lab notes to proof-of-work instead of isolated pages.
Step 1
Intelligence systems office
The strategic map for what is being built and why.
Step 2
Lab notes
Build footprints and progression logs as proof-of-work.
Step 3
Control surface
Governance and monitoring architecture for operational reliability.
Step 4
Private alignment
Convert insight into execution with scoped collaboration.