Agent Control: Zero-Trust, MCPs, and Live Agent Evaluation
Build zero-trust AI agents with Google’s Agent Development Kit. Google releases an Agent Development Kit that enforces hardware-backed signatures, kernel sandboxing, and deterministic I/O gateways to run multi-tool agents under zero-trust. Outcome engineers get a concrete architecture for hardening agent runtimes and reducing the attack surface when agents reach production.
Claude can now delete your production voice agent from a chat window. ElevenLabs’ hosted MCP connector lets Claude inspect, modify, and even delete production voice agents directly from chat, exposing how conversational controls can become a production control plane. Treat hosted MCP connectors as high-risk orchestration surfaces: lock down access, require attestations, and add audit-and-rollback guards to enforce Principle 15 (Gate) and Principle 14 (Immune System).
MongoDB unveils MongoDB Atlas Managed MCP Server. MongoDB launches a fully hosted Atlas Managed MCP Server that connects coding agents to live Atlas operational data without local infrastructure. This shortcut accelerates agent-driven workflows but forces outcome teams to design strict data contracts, scoping, and observability around live context injection (Principle 06 and Principle 09).
Evaluating AI Agents Live at the Grounded Reasoning Cup. The Grounded Reasoning Cup demonstrates that benchmark wins often fail to generalize — engineered agents top out around 63.3% on the new OfficeQA Pro V2. Outcome engineers must prioritize domain-grounded, live evaluations and continuous auditing over leaderboard metrics to validate real-world outcomes (Principle 16).
Open Sourcing Comfy MCP on Local. Comfy open-sources an MCP that runs locally and manages hardware-aware ComfyUI workflows across local and cloud environments. Outcome engineers gain a practical, auditable MCP for reproducible local-first agent development and for building legible islands where agents operate under controlled context (Principle 07 and Principle 06).