Series

Designing Secure AI Agents

A practical series on building AI agents that are secure by design — covering trust boundaries, prompt injection defenses, scoped tool access, approval gates, and audit architecture. Each post stands alone; together they form a complete playbook.

2 posts — read in order or jump to any part.

AI Agent Architecture: The Trust Boundary Model

Learn the Agent Trust Boundary Model for secure AI agent architecture: instructions, data, tools, actions, memory, approval gates, and audit logs.

AICybersecuritySeriesMay 23, 2026

AI Agent Memory vs State: What Should Be Remembered, Stored, or Recomputed?

AI agent memory vs state explained for enterprise teams: what to remember, store, recompute, audit, and secure before production.

AICybersecuritySeriesMay 30, 2026