You're building agent security in the wrong order

The agent security market is rapidly evolving, with companies introducing solutions like runtime identity enforcement and platforms for discovering and managing shadow agents, but many are focusing on the wrong step in the sequence of deploying AI agents. Enterprises often start with building a security stack, driven by compliance and security concerns, but encounter issues when their agents fail to function as intended due to a lack of proper foundational infrastructure, or "harness." CrewAI has observed that successful deployment requires first establishing a reliable harness that ensures efficient tool usage and state management across steps, followed by a governance framework to define agent permissions and operations. Only after these steps are solidified should identity and authorization controls be implemented, allowing for effective security measures that match the known capabilities and actions of the agents. The widespread focus on security first is attributed to enterprise purchasing behavior, which prioritizes unlocking budgets through security assurances, but the true effectiveness lies in starting with a solid operational foundation.

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