AI article
Securing the agentic enterprise with data lineage
Publisher description: 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…
MIT Technology Review | Nov 4, 2026 | MIT Technology Review Insights
Automated excerpt
Data lineage is the new security perimeter, providing the visibility needed for governance, accountability, and trust, without impeding AI adoption at scale. In short, AI security isn’t a tool problem; it’s a data visibility problem. Securing agentic AI at scale requires understanding how data moves.
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