Policy-Based Access Control for Sensitive Data That Moves Markets
Protect Your MNPI from AI Agents Running in the Wild
Leakage of Material Non-Public Information (MNPI) — such as financial forecasts, M&A plans, or strategic reports — can trigger regulatory penalties and erode stakeholder trust.
In the age of autonomous agents, protecting information flow is the new perimeter. As AI agents interact with enterprise applications and data layers, they can retrieve and expose sensitive information within seconds — often without built-in safeguards.
PlainID closes these gaps. Built on proven PBAC architecture trusted by Fortune 2000 enterprises, the PlainID Platform applies policy-driven guardrails across the AI flow to deliver consistent, auditable information-flow control and data-security governance.