Securing AI Agents for Production Deployment

As AI agents move toward production use, security becomes a primary architectural concern rather than a post-deployment control. The article outlines how agent-based systems expand the attack surface through tool use, memory persistence, and autonomous decision loops. It highlights risks such as prompt injection, data exfiltration, and unintended tool execution, alongside mitigation patterns including sandboxing, permission boundaries, and observability. For technology leaders, the key takeaway is that agent security must be embedded into system design, not layered on afterward.