Explore • Understand • Secure

Agentic Security Explorer (ASE)

Learn Agentic Attack Surfaces, Risks, and Business Impact

Agentic Attack Surface
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.
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.

About this library The Incident Library contains representative incident-chain scenarios designed for learning and exploration. It is not an exhaustive catalog. Additional attack paths, threat combinations, and incident patterns may emerge based on architecture, autonomy, trust boundaries, connected tools, data, and runtime controls.

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.