Cross-Agent Capability Bypass
Multi-Agent SecurityDescription
Safeguards bypassed by distributing attack steps across multiple specialised agents, each staying below detection thresholds individually. The collective bypass cannot be detected by examining any single agent.
Agent A handles reconnaissance, Agent B plans the attack, Agent C executes—no single agent shows suspicious behaviour.
The Mata v. Avianca case directly demonstrates confidence-accuracy mismatch in a production legal context: the AI tool expressed high certainty about case citations that did not exist. Academic calibration studies further confirm that large language models are systematically overconfident across task domains.
Primary mitigations
- End-to-end cross-agent behaviour correlation
- distributed action-sequence monitoring
- holistic intent analysis.
Detection signals
Cross-Agent Capability Bypass Index; distributed action-sequence anomaly detection.