Agentic threat models
Mapping hazards that emerge from delegation, shared autonomy, memory, markets, and tool access.
A focused gathering on how agentic systems interact, coordinate, fail, and can be evaluated when multiple AI agents share tools, goals, information, and adversarial environments.
MASS brings together researchers working on multi-agent AI, evaluation, security, governance, and decentralized intelligence.
Mapping hazards that emerge from delegation, shared autonomy, memory, markets, and tool access.
Hardening multi-agent workflows against prompt injection, data exfiltration, collusion, and cascading compromise.
Stress tests, red-teaming protocols, benchmarks, and observability for distributed agent behavior.
Mechanisms for accountability, incentives, auditing, and human oversight in agent ecosystems.
Session titles and speakers may change as the program is finalized.
Samuele Marro and Emanuele La Malfa
Christian Schroeder de Witt
Safety in Multi-Agent Economies
Georgios Piliouras
Selected talks on multi-agent safety and security
We invite poster contributions on the safety and security of multi-agent AI systems. The poster session will run during Session 6, from 15:00 to 16:20.
Submit abstracts (up to 150 words) to workshop26@decentralized-ai.org
Poster Deadline24 June 2026, 23:59 AOE
IDAI, Oxford
IDAI, Oxford
Microsoft
Ethereum Foundation
Venue