To combat the rise of agentic breaches, architects must adopt a 'Zero Trust' approach to AI agents. This involves three core pillars: 1. **Semantic Isolation**: Use separate LLM instances for 'Input Processing' and 'Action Execution.' The processing instance should never have access to tools or secrets. 2. **Ephemeral Context**: Clear the agent's memory/context after every task to prevent 'Contextual Poisoning' from persisting across sessions. 3. **Policy-as-Code for Tools**: Every tool an agent can call (e.g., 'read_file', 'send_email') must be governed by a strict, non-AI policy engine that enforces 'Least Privilege' based on the current user's identity, not the agent's identity. By treating the agent as a 'non-trusted proxy' for the user, organizations can prevent the 'Agentic Asymmetry' from being weaponized.