2025.06/Multi-Agent Systems
COALESCE: Economic and Security Dynamics of Skill-Based Task Outsourcing Among Team of Autonomous LLM Agents
M. Bhatt, R. F. Del Rosario, V. S. Narajala, I. Habler
Abstract
Studies economic and security behavior when autonomous language-model agents outsource tasks according to skill within multi-agent teams.
Where it sits
Pillar 03 — Defenses, Artifacts & Disclosure
What can a defender run tomorrow?
Turn findings into usable protection — concrete defenses, deployed tools, and real vulnerability disclosure.
Outside writing
No verified independent writing about this paper yet. If you have written about it, send the link to b1oo@shrewdsecurity.io.
How outside writing is graded →More from defenses
Whole pillar →2026.06Beyond Injection Detection: A Positive-Security Prompt Firewall that Closes the Scope and PHI Gap SOTA Classifiers Miss in HealthcarePresents QFIRE, an inline, provider-agnostic prompt firewall for healthcare AI agents that combines positive-security scope constraints, an asynchronous detector graph, and de-obfuscation — and releases QFIRE-HealthBench, where generic injection detectors recover only 0.40 recall while QFIRE's scope+PHI chain reaches 0.83.2025.11MAIF: Enforcing AI Trust and Provenance with an Artifact-Centric Agentic ParadigmProposes an artifact-centric architecture that embeds provenance, access control, and audit evidence into the data objects used by AI agents.2025.07ETDI: Mitigating Tool Squatting and Rug Pull Attacks in Model Context Protocol (MCP) by Using OAuth-Enhanced Tool Definitions and Policy-Based Access ControlMitigates tool squatting and rug pull attacks in the Model Context Protocol (MCP) by hardening tool definitions with OAuth-enhanced signatures and policy-based access control, preventing malicious or mutated tools from being silently substituted into agent workflows.