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Architecting resilient llm agents: A guide to secure plan-then-execute implementations

4 Pith papers cite this work, alongside 1 external citations. Polarity classification is still indexing.

4 Pith papers citing it
1 external citations · external index

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2026 4

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representative citing papers

AgentSPEX: An Agent SPecification and EXecution Language

cs.CL · 2026-04-14 · unverdicted · novelty 6.0

AgentSPEX is a new language and harness for explicitly specifying and running structured LLM-agent workflows with typed steps, control flow, parallel execution, and a visual editor.

Parallax: Why AI Agents That Think Must Never Act

cs.CR · 2026-04-14 · unverdicted · novelty 6.0

Parallax enforces structural separation between AI thinking and acting via independent multi-tier validation, information flow control, and state rollback, blocking 98.9% of 280 adversarial attacks with zero false positives even when the reasoning system is fully compromised.

Security Considerations for Multi-agent Systems

cs.CR · 2026-03-09 · unverdicted · novelty 6.0

No existing AI security framework covers a majority of the 193 identified multi-agent system threats in any category, with OWASP Agentic Security Initiative achieving the highest overall coverage at 65.3%.

citing papers explorer

Showing 4 of 4 citing papers.

  • AgentSPEX: An Agent SPecification and EXecution Language cs.CL · 2026-04-14 · unverdicted · none · ref 11

    AgentSPEX is a new language and harness for explicitly specifying and running structured LLM-agent workflows with typed steps, control flow, parallel execution, and a visual editor.

  • Parallax: Why AI Agents That Think Must Never Act cs.CR · 2026-04-14 · unverdicted · none · ref 40

    Parallax enforces structural separation between AI thinking and acting via independent multi-tier validation, information flow control, and state rollback, blocking 98.9% of 280 adversarial attacks with zero false positives even when the reasoning system is fully compromised.

  • Security Considerations for Multi-agent Systems cs.CR · 2026-03-09 · unverdicted · none · ref 93

    No existing AI security framework covers a majority of the 193 identified multi-agent system threats in any category, with OWASP Agentic Security Initiative achieving the highest overall coverage at 65.3%.

  • SmartWalkCoach: An AI Companion for End-to-End Walking Guidance, Motivation, and Reflection cs.HC · 2026-05-14 · conditional · none · ref 25

    A three-agent mobile system for end-to-end walking support shows motivational companion dialogue boosts affect and UX in a 12-person in-the-wild crossover study.