MIT Technology Review Insights advocates data lineage to secure AI agents

MIT Technology Review Insights says adopting AI agents requires tracking data as it moves among systems, files, and agents. In a scenario described by the publication, one agent combines restricted pricing, internal communications, and archived quotes; another uses the result to prepare a proposal, without human review, that includes confidential and unapproved information. Without data lineage, the company cannot identify where the problematic content entered the workflow or how it spread.

The report argues that security approaches focused only on applications, systems, networks, or endpoints are no longer sufficient for workflows in which data is continuously ingested, copied, summarized, transformed, reused, and redistributed. The material was produced by MIT Technology Review’s custom content arm, not its editorial staff, with research and writing conducted by humans.