Analysis
AI Agent Security Best Practices: 5 Risks and 10 Controls
Publication date unknown · Discovered airlockdigital.com
Page published
Publication date unknown · First observed: 7 Nov 2026
Coverage timeline
Single-source analysis — one report is available.
Why it matters
Airlock Digital’s guidance gives defenders a practical baseline for restricting agent authority and containing the consequences of manipulated inputs or compromised agent behavior.
Airlock Digital’s AI-agent security guide outlines five risk areas: prompt injection and hijacking, excessive permissions, sensitive data exposure, tool/API abuse, and memory poisoning. Recommended controls include unique agent identities, least privilege, short-lived credentials, execution restrictions, human approvals, memory protection, sandboxing, and behavioral monitoring.