5 Essential Security Patterns for Robust Agentic AI

Five security patterns are outlined for building robust agentic AI systems: Just-in-Time (JIT) tool privileges that grant short-lived access tokens to minimize blast radius, Bounded Autonomy that constrains agent actions and routes sensitive steps to human approval, an AI Firewall layer that filters prompts and responses against threats like prompt injection and data exfiltration, Execution Sandboxing that runs agent-generated code in isolated containers with strict resource limits, and Immutable Reasoning Traces that create tamper-evident audit logs of agent decisions. These patterns are designed to work as a layered defense rather than standalone controls.