Agent Architectures and Design Patterns
Design Patterns for Robust, Controllable Multi-Agent Systems
Design multi-agent systems with structured intents, clear control flows, and predictable coordination.
Overview
This session examines security considerations and implementation patterns for production AI agent systems. We cover prompt injection defense mechanisms, input validation and sanitization, output filtering and content moderation, and sandboxing agent tool access. Topics include implementing role-based access control (RBAC) for agent capabilities, secure credential management for tool APIs, rate limiting and quota enforcement, and audit logging for compliance. We explore defense-in-depth strategies, building safety guardrails that prevent harmful actions, implementing circuit breakers for runaway agents, and secure deployment patterns. The discussion includes real-world security incidents, threat modeling for agentic systems, and implementing zero-trust architectures.
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