Securing the agentic enterprise with data lineage
MIT Technology Review highlights data lineage as the required visibility layer for governing agentic AI workflows without impeding adoption.
Agentic AI systems chain data across multiple sources and agents without human review creating traceability gaps. Data lineage provides visibility into data movement copying and transformation across systems files and agents. The article positions data lineage as the new security perimeter for governance accountability and trust in enterprise AI deployments.
Unconfirmed: None
- AI security requires managing moving fragmented data
- Traditional application-based security is insufficient
- Data lineage enables dynamic governance
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From the original article
1 min read at technologyreview.com
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.
By MIT Technology Review Insights · technologyreview.com
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