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Palo Alto Unit 42

When an Attacker Meets a Group of Agents: Navigating Amazon Bedrock's Multi-Agent Applications

Jay Chen and Royce Lu · 2026-04-03 · Read original ↗

ATT&CK techniques detected

1 predictions
T1190Exploit Public-Facing Application
59%
"##tion capabilities for multi - step reasoning. red - teaming multi - agent application this section describes our methodology for red - teaming multi - agent applications. the goal is to deliver attacker - controlled payloads to arbitrary agents or their tools. depending on the …"

Summary

Unit 42 research on multi-agent AI systems on Amazon Bedrock reveals new attack surfaces and prompt injection risks. Learn how to secure your AI applications.

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