Agentic Attack Surface

Take apart a multi-agent
system, one node at a time.

Eighteen components make up an agentic AI attack surface model with visible mobile map controls and consistent attack-chain rings. Each one carries its own risks. Click through the diagram to inspect them — then collect risks from different components into your basket to see whether they chain into a bigger attack path.

01 — Click a node to see what it does and what can go wrong.
02 — Add risks to your basket from two or more components.
03 — Watch for a chained attack path to light up on the map.
04 — Each path you unlock reveals the real 2025–2026 incident it echoes, in the Incident Library tab.
· — Switch to Explore mode anytime to turn off the on-map guidance and work it out yourself.
Agentic Attack Surface

Multi-Agent System Explorer v2

0/66Risks Inspected
0/10Cases Unlocked
Basket Add risks from the map to test if they chain together →
Scroll or pinch to see the full map ↔
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🧭 Guide ▾

Add any risk from a component to get started — I'll show you what it could connect to.

Incident Library

Every attack path on the map echoes something that actually happened. Discover a chain in the System Map to unlock the real-world case behind it — based on public incident reporting and research from 2025–2026, simplified for teaching.

Threat Catalog

Single-pane listing of all agentic AI threats and risks in this explorer. Group by component or severity, then download the complete catalog for architecture reviews, tabletop exercises, or course handouts.