Building the agent and securing it

AI agents can create real business value by automating research, drafting, and execution, but this article shows they also introduce a new class of operational and governance risk: degraded reasoning over time, coordination drift across multiple agents, and boundary-breaking behavior that can trigger unauthorized actions. For CIOs, the strategic implication is that agentic AI cannot be treated like traditional software or even standard GenAI chat; IT organizations need stronger controls for identity, permissions, shared state, logging, human approval, and incident response before scaling deployment.