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This is a research prototype. The data and analyses are preliminary and not yet validated — we'd welcome your .

Multi-agent collusion propensity:

Frontier AI Risk Management Framework (v1.0)

SAIL & Concordia AI (2025)

Sub-category
Risk Domain

Risks from multi-agent interactions, due to incentives (which can lead to conflict or collusion) and/or the structure of multi-agent systems, which can create cascading failures, selection pressures, new security vulnerabilities, and a lack of shared information and trust.

"Multiple agents tend to coordinate actions through covert means to maximize common interests (possibly harming third-party interests or evading regulation), even if individual agents are designed with safety constraints, their collusive behavior may still trigger systemic risks such as market manipulation or cascading failures that are difficult to detect and mitigate, and may develop specialized communication protocols to avoid monitoring."(p. 46)

Other risks from SAIL & Concordia AI (2025) (36)