AgentProv

Stats

Built from the public catalog at build time, covering 2024 through 2026-10-27. Every chart can be embedded. How incidents are tagged is on the methodology page.

incidents
385
with a CVE
135
unique CVEs
233
sources per incident
2.86
tagged (2026)
325
in-model
222
outside the model
103
in 2026
325

Through the model

2026 incidents tagged against the eight layers. See the methodology for the rules.

Primary layer

In-model incidents by the layer whose failure made the incident possible.

Data table
Incidents
L1 Credential23
L2 Instruction37
L3 Tool5
L4 Code / Package8
L5 Config31
L6 Identity / Run92
L7 Build / Approval17
L8 Output / Destination9

Primary layer per quarter

In-model incidents per quarter, stacked by primary layer.

Data table
QuarterL1L2L3L4L5L6L7L8
2026-Q141004610
2026-Q2660472142
2026-Q382543114886
2026-Q4551191741

Secondary layers

How often each layer appears as a layer an incident cascaded through.

Data table
Incidents
L1 Credential77
L2 Instruction26
L3 Tool5
L4 Code / Package23
L5 Config46
L6 Identity / Run27
L7 Build / Approval17
L8 Output / Destination54

Layer 6 by actor

Who drove the failing action in incidents whose primary layer is Identity / Run.

Data table
Incidents
Vendor evaluation or research agent26
Deployed agent acting for its operator4
Attacker60
Unknown2

Fixable or architectural

In-model incidents by whether a vendor code fix closes the class.

Data table
Incidents
Vendor patch closed it140
Architectural80
Unknown2

Vendor response

What the vendor did, for in-model incidents.

Data table
Incidents
Patched125
Unknown79
Not a vulnerability7
Mixed5
Disputed3
No response3

In the wild

Share of tagged incidents with real victims or active exploitation reported.

Data table
PopulationIn the wildNot in the wildShare
In-model9312941.9%
Outside the model604358.3%
All tagged15317247.1%

Outside the model

Tagged entries where agent tooling was not the attack surface, or that are context, model safety, or adjacent ecosystem compromises, by class. Counted so they are never dropped.

Data table
Incidents
AI capability20
Offensive use32
Resource theft4
Context28
Model safety1
Adjacent ecosystem18

The catalog

Every incident in the catalog, untagged counts.

Incidents per quarter

Catalog incidents by disclosure quarter.

Data table
QuarterIncidents
2024-Q15
2024-Q26
2024-Q38
2024-Q47
2025-Q15
2025-Q27
2025-Q312
2025-Q410
2026-Q124
2026-Q269
2026-Q3172
2026-Q460

Keyword buckets

Rough, non-exclusive keyword matches over title, target, root cause, and impact. Not layer tags.

Data table
Incidents
credential / secret theft198
Claude Code / Anthropic102
OpenAI / ChatGPT / Codex90
prompt injection80
RCE67
npm / PyPI supply chain62
Gemini / Google57
crypto / DeFi56
MCP51
offensive use by attackers45
Copilot / GitHub32
Cursor25
LangChain / Langflow / LangGraph23
not a vulnerability / disputed22
misalignment / rogue agent20
n8n / Flowise / low-code17
LiteLLM16
OpenClaw / ClawHub15
Ollama / vLLM / inference servers12
DPRK9

MCP share per quarter

Percent of each quarter's incidents that mention MCP in title, target, or root cause.

Data table
QuarterMCPTotalShare
2024-Q1050%
2024-Q2060%
2024-Q3080%
2024-Q4070%
2025-Q1050%
2025-Q22728.6%
2025-Q31128.3%
2025-Q40100%
2026-Q12248.3%
2026-Q276910.1%
2026-Q3131727.6%
2026-Q4166026.7%

Top source outlets

Outlets cited most often across incident source lists.

Data table
OutletCitations
The Hacker News138
The Register51
BleepingComputer44
SecurityWeek35
Help Net Security30
Cybersecurity News28
Dark Reading24
GBHackers23
Wiz18
Infosecurity Magazine17
CSO Online16
NVD13
TechCrunch12
SC Media11
CISA9