A Technical Blueprint For Zero-Trust AI Access To Public-Sector Data

Gopichand Mannava, a Forbes Councils member, proposes a zero-trust technical blueprint for AI access to public-sector data, emphasizing that agencies transitioning from AI-assisted reporting to AI-initiated action require a more defensible access-control architecture. The framework integrates identity verification, continuous monitoring, and least-privilege principles to secure sensitive government datasets.

A Technical Blueprint For Zero-Trust AI Access To Public-Sector Data By Gopichand Mannava, Forbes Councils MemberSource: Forbes Innovation https://www.forbes.com/innovation/ As agencies move from AI-assisted reporting to AI-initiated action, organizations need a more defensible architecture when it comes to access control. Get AI news in your inbox Daily digest of what matters in AI.