Reuben Weldon

Boards need metrics that tie agent actions to named owners and measurable control thresholds.

Enterprises need security guardrails before letting non-technical workers deploy AI agents.

Network traffic patterns reveal hidden MCP servers before they become security threats.

Three authentication patterns secure AI agents across user, unattended, and enterprise contexts.

Centralized monitoring closes the gaps in agent security that fragmented team dashboards cannot see.

Agents need testing beyond endpoint responses to catch schema drift and poisoned descriptions.

Tiered risk classification and async state management replace single-gate reviews.

Existing policies miss the operational risks agents create through tool access and permissions.

Vendors catch some MCP threats but miss critical gaps in supply chain and tool poisoning attacks.

The standard predates autonomous agents and needs translation for tool-using systems.

Enterprises need a new identity framework designed for how AI agents actually work.

Existing HIPAA rules already cover AI agents—no new law needed.

Enterprises must extend SSO and SCIM to handle agent lifecycles that have no human departures.

Choose local for proprietary code, remote for shared team workflows, hybrid for both.

enterprises overlook authorization because the protocol leaves security entirely to implementers.

MCP's trust boundaries collapse in production, enabling unauthorized tool calls at scale.

Four boolean hints preview tool behavior, but only if you trust the server supplying them.