mlsanityData to 7 Oct 2026

Looking Forward: Challenges and Opportunities in Agentic AI Reliability

arXiv 2511.11921 ↗First posted 14 Nov 2025cs.AI cs.ET cs.PFcited by 0

On the map: LLM agents and tool use → Agent threats, guardrails and governance

Abstract (arXiv)

This chapter presents perspectives for challenges and future development in building reliable AI systems, particularly, agentic AI systems. Several open research problems related to mitigating the risks of cascading failures are discussed. The chapter also sheds lights on research challenges and opportunities in aspects including dynamic environments, inconsistent task execution, unpredictable emergent behaviors, as well as resource-intensive reliability mechanisms. In addition, several research directions along the line of testing and evaluating reliability of agentic AI systems are also discussed.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Agent threats, guardrails and governance, one of 16 directions in LLM agents and tool use. Builds on 0 of its 47 references that are in the map. First posted on arXiv 14 Nov 2025.

Builds on

0 of 47 references.

No references here yet.

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2025Perspectives on a Reliability Monitoring Framework for Agentic AI Systems
  2. 2025Architectures for Building Agentic AI
  3. 2026Consistency as a Testable Property: Statistical Methods to Evaluate AI Agent Reliability
  4. 2026Reliability Engineering for AI Systems: Challenges, Methods, and Directions
  5. 2025From Failure Modes to Reliability Awareness in Generative and Agentic AI System
  6. 2026Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security
  7. 2025Exploring Autonomous Agents: A Closer Look at Why They Fail When Completing Tasks
  8. 2025Agentic AI Needs a Systems Theory