What’s Holding Back AI Agents? It’s Still Security

This post examines why security remains the primary obstacle to widespread AI agent deployment, featuring practical approaches using containerization and sandboxing.

• •NanoClaw integrates with Docker Sandboxes to run AI agents inside disposable MicroVMs for isolated execution
• •The combination of transparency and isolation addresses key trust concerns in agentic workflows
• •A real-world supply chain attack on Aqua Security's Trivy scanner illustrates the CI/CD security risks AI agents face
• •Threat actors pushed backdoored images targeting CI/CD secrets, cloud credentials, SSH keys, and Docker configs
• •Achieving reliable, secure agent execution requires both runtime isolation and hardened infrastructure pipelines