MCP Security: What Product and Engineering Teams Must Design Before Launch
Security cannot be added after the agent experience is designed.
Security cannot be added after the agent experience is designed.
The value of an agent is its ability to take action. The risk is that those actions may reach sensitive data, critical systems, or irreversible workflows. Security must shape the architecture from the beginning.
Every agent implementation needs: identity and authentication, role-based access, least-privilege tool exposure, human-in-the-loop approvals, data isolation, secret management, input validation, prompt-injection resistance, action logging, rate and scope limits, reversible changes, and incident response planning.
Not all actions carry the same risk. Classify every tool by impact: low risk (read-only, non-sensitive), moderate risk (low-impact, reversible), high risk (sensitive data, configuration changes, financial impact), and critical risk (destructive, irreversible, privileged, regulated).
Each risk level should define required identity assurance, permission model, human approval requirements, logging requirements, recovery processes, and testing requirements. This framework ensures consistency and prevents gaps.
The AI Agent Readiness Assessment identifies the workflows, technical gaps, security requirements, and implementation priorities that matter most.
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