Most AI agents fail not because of models, but because they cant access trusted external data. This session shows how InfoTrack used Model Context Protocol (MCP) to connect agents to authoritative data sources via a compliant and secured gateway.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
MCP gateway connecting agents to authoritative external data sources. Compliant + secured access patterns.
Why it matters
Most agent failures are *data-access failures*, not model failures. Better grounding beats better models for many use cases.
The hard parts
Authentication, authorisation, and audit for agent-accessed data.
Playbook moves
(1) Build MCP servers as governed APIs. (2) Apply the same standards as customer-facing APIs. (3) Log every access — agent traffic patterns differ from human ones.
The surprise
The MCP server's *logging* is more valuable than its data access. Audit trails for agent data access become regulatory evidence; design for that, not just functionality. Most teams build MCP servers and forget the audit log.
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Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.
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