The AI-Native Security Model
Source-grounded pack with Agent Threat Model, AI Security Control Map, and Data Permission Review, plus 1 more.
Get this packGrounded in the complete The AI-Native Security Model series.
Open the pack, choose a workflow, and follow its setup and input instructions. You can also open each workflow below.
10 source essays · 4 usable skills · reviewed Jul 2026
Use this pack when
Choose this pack when the work touches The AI-Native Security Model and you need a bounded workflow with explicit inputs, a defined output, and human review gates.
Choose the job in front of you.
4 source-grounded skills. Load one workflow at a time.
Agent Threat Model
Use this workflow when an AI workflow can retrieve context, call tools, cross handoffs, or change state and needs a threat model for delegated authority rather than prompt filtering alone.
Output specification
Return an agent threat model with:
AI Security Control Map
Use this workflow when an AI workflow needs an executable security harness joining verification, approvals, logging, vendor governance, rollback, and incident response.
Output specification
Return an AI security control map with:
Data Permission Review
Use this workflow when an AI workflow needs separately scoped identities, context boundaries, tool permissions, vendor data rules, and rapid revocation before receiving access.
Output specification
Return a data and permission decision with:
Red-Team Findings Brief
Use this workflow when authorized adversarial testing of an AI workflow must become reproducible security findings, containment decisions, and verified control improvements.
Output specification
Return a red-team findings brief with:
Keep consequential decisions explicit.
These workflows structure analysis and artifacts; they do not authorize autonomous external, personnel, financial, legal, security, or other high-impact action.