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c12. protecting agentic systems

The chapter began by examining unique risks of agentic systems. Securing foundation models was addressed through model selection, defensive techniques, red teaming, and fine-tuning. Data security was underlined through encryption, provenance, integrity verification, and responsible handling of sensitive information. Agent security addressed external threats and internal failures.

c11. improvement loops
three components
feedback pipelines
experimentation
continuous learning

c10. Monitoring in production

c9. validation and measurement

Measurement and validation form the backbone of developing robust and reliable agent-based systems. Defining clear objectives and selecting relevant metrics creates a structured foundation for performance assessment. Thorough error analysis uncovers weaknesses and informs targeted improvements, while multitier evaluations provide a holistic view of individual components to full-scale.

c8. from one agent to many

The transition from single-agent to multiagent systems offers advantages in addressing complex tasks, enhancing adaptability, and increasing efficiency, but scalability brings challenges demanding careful planning. Coordination strategies—democratic, manager-based, hierarchical, actor-critic, and ADAS—provide different trade-offs between robustness, efficiency, and complexity.