Securing the agentic enterprise with data lineage
TL;DR
A sales representative asks an AI agent for customer pricing, and the agent pulls data from multiple sources: restricted pricing systems, internal communications, and archived quotes. The output looks accurate to the agent, so a second agent uses the data to draft the proposal for the sales rep. No human checks either handoff. When it’s….
Nauti's Take
The first test should target data lineage at every agent handoff: which source was used, which fields were restricted, and who can approve the next step? A small team should introduce conflicting price records and deliberately inaccessible internal messages, then check whether the workflow exposes uncertainty or still turns a plausible answer into a proposal.
Summary
A sales representative asks an AI agent for customer pricing, and the agent pulls data from multiple sources: restricted pricing systems, internal communications, and archived quotes. The output looks accurate to the agent, so a second agent uses the data to draft the proposal for the sales rep.
No human checks either handoff. When it’s…
Sources
