Paper: Analyzing Defensive Misdirection Against Model-Guided Automated Attacks on Agentic AI Systems

type: paper title: Analyzing Defensive Misdirection Against Model-Guided Automated Attacks on Agentic AI Systems authors: Reza Soosahabi, Vivek Namsani year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.20470 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-18 updated_at: 2026-06-26 status: queued relevance: high topics:

agent-evaluation
computer-use
tool-use
workflow-agent methods:

benchmarks:

models:

datasets:

cs.CR
cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 14 collection_queries: agentic-ai

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

matched queries: agentic-ai
inferred topics: agent-evaluation, computer-use, tool-use, workflow-agent
arXiv categories: cs.CR, cs.AI
collection score: 14

Review Checklist

Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
Does it include a benchmark, dataset, code, or reproducible experimental setup?
Should it be promoted from queued to skimmed or summarized?

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