Securing the agentic enterprise with data lineage
Summary
- Enterprise use of agentic AI introduces complex risks when autonomous agents pull and redistribute confidential data without human oversight.
- Traditional security approaches focused on applications, networks, or endpoints are insufficient for managing moving and fragmented data in agentic workflows.
- Securing agentic AI at scale requires data lineage to maintain governance, accountability, and trust across human, agentic, and hybrid systems.
Why it matters
As autonomous AI agents rapidly integrate into enterprise workflows, organizations must implement robust data lineage to track information movement and prevent leaks of sensitive data.