Autonomous AI agents that execute code, call APIs, and modify filesystems require a fundamentally different security model than traditional software. Using Pentagi, an open-source AI-powered penetration testing agent, as a reference architecture, four concrete security patterns are explored: container-based sandboxing with
Table of contents
Table of ContentsWhy Autonomous Agents Are a Security Inflection PointWhat Is Pentagi and Why It Matters for Agent SecurityPattern 1: Container-Based Sandboxing for Agent ExecutionPattern 2: Scoped Tool Permissions and Least-Privilege OrchestrationPattern 3: Human-in-the-Loop Gates and Approval WorkflowsPattern 4: Audit Logging and Observability for Agent ActionsPutting It All Together: A Security Checklist for Autonomous AgentsSecurity as a First-Class Architectural ConcernSort: