gcdRadar
live/Research/AIR-2026-1736
liveliveResearch1 Research / proof of conceptAI

AgentCap: Capability-Based Runtime Authorization for Secure LLM Agent Execution

AgentCap

Researchers explore how indirect prompt injection can hijack language-model agent reasoning to execute unauthorized actions when action selection and authorization are combined. They present a runtime authorization layer called AgentCap to externalize and mediate tool invocations.

why this severityResearch paper demonstrating LLM agent security risks and proposing a runtime defense layer.

first report
3 Nov 2026
last update
3 Nov 2026

Timeline · 1

  1. 3 Nov 2026AgentCap: Capability-Based Runtime Authorization for Secure LLM Agent Execution

Sources · 1

Research and catalogues

  1. 2026-11-03

Titles and links belong to their publishers. The summary above is written by gcdRadar in its own words; data is CC BY-SA 4.0.

Classification

AI role
Attack on AI
categories
Agent hijackPrompt injection
severity
1 · Research / proof of concept
targets
Framework / tooling
dates
happened 3 Nov 2026 · first reported 3 Nov 2026
origin
News & research feeds
record
confidence 0.95 · created 2026-11-03 19:03Z · updated 2026-11-03 19:03Z

Lane, AI role, categories and severity come from the classifier; the OWASP and ATLAS rows are derived from the categories. How these are assigned

Copy a brief

This record as a short Markdown brief, for a ticket, a chat or a coding agent.

the brief as text
# AgentCap: Capability-Based Runtime Authorization for Secure LLM Agent Execution

https://gcdradar.vercel.app/incidents/agentcap-capability-based-runtime-authorization-for-secure-l · AIR-2026-1736 · live

- Lane: Research
- Severity: 1 (Research / proof of concept): Research paper demonstrating LLM agent security risks and proposing a runtime defense layer.
- Fix status: Fix status unknown
- First reported: 2026-11-03
- AI role: Attack on AI
- Products: AgentCap

## Summary

Researchers explore how indirect prompt injection can hijack language-model agent reasoning to execute unauthorized actions when action selection and authorization are combined. They present a runtime authorization layer called AgentCap to externalize and mediate tool invocations.

## What to do

No action recorded; read the sources below and the vendor's advisory.

## Latest updates

- 2026-11-03: AgentCap: Capability-Based Runtime Authorization for Secure LLM Agent Execution (https://arxiv.org/abs/2611.00729)

## Sources

- 2026-11-03 arXiv: AgentCap: Capability-Based Runtime Authorization for Secure LLM Agent Execution https://arxiv.org/abs/2611.00729

Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.

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