The original title is about credential management and MCP security for autonomous AI agents. Let me rewrite this for a mobile feed.

Short summary

Autonomous AI agents interacting with external systems via the Model Context Protocol (MCP) expose a fundamental mismatch with human-centric RBAC security models. Agents need broad, ephemeral permissions that traditional static credential management cannot safely provide, creating a 'God Mode' blast-radius problem. The article identifies MCP-specific risks like context poisoning from malicious tool definitions and proposes rethinking authentication architecture for agent-as-a-user scenarios.

• •Traditional RBAC models fail for ephemeral, dynamic AI agents acting on behalf of developers
• •MCP tool definitions can be poisoned to exfiltrate sensitive data through hidden parameters
• •New architectural patterns needed for agent-scoped, time-limited credential management

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