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REFERENCE LIBRARY · AGENTIC AI SECURITY

Architect agentic AI that's secure by design.

Diagrams, how-tos, quick references, and threat-to-control mappings for the people who design and review agentic systems, so you can answer hard questions fast.

trust boundaries

Architecture & Diagrams

Reference architectures and trust-boundary patterns for agents, tools, and data.

The agentic trust boundary Agentic AI controls Multi-agent systems
step by step

How-To Guides

Step-by-step procedures to secure a capability end to end, with reviewable acceptance criteria.

Should you use AI? Worked examples by risk tier Selecting guardrails
checklists

Quick Reference

Cheat sheets and checklists you can scan in seconds during a design review.

Implementation checklist Production readiness gates Standards mappings
threat → control

Threat & Control Mappings

Map agentic threats to concrete, reviewable controls, and where to enforce them.

Prompt injection Excessive agency Sensitive data exposure

REFERENCE ARCHITECTURE

The agentic trust boundary

Everything untrusted must cross a control plane before it reaches your models, memory, and enterprise systems. Use this as a checklist when reviewing a design.

Open full diagram →

UNTRUSTED

End users & promptsuntrusted input
External tools & webindirect injection
Third-party datapoisoning risk

SECURITY CONTROL PLANE

Input validation
Policy & guardrails
AuthZ & tool scopes
Output filtering
Observability & audit logging

TRUSTED

Agent orchestratorplanner · memory
Model / LLMinference
Memory & vector storeleast privilege
Enterprise APIsscoped access

START HERE

Answer the question you actually have

THREAT → CONTROL

Map the threat to a control you can review