Key Takeaways

• Understand common attack vectors for AI agents: prompt injection, malicious tools/plugins, chain-of-thought exploits
• Hands-on threat modeling for agent architectures and evaluating trust boundaries
• Applying secure orchestration practices and tool integrations for agentic workflows
• Building defense strategies: sandboxing, permissions, audit-logging, context validation
• How to detect abuse, anomalous behavior, misuse of agent capabilities

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