Experts Propose New AI Governance Frameworks for Public and Private Sectors

Industry and academic experts are promoting updated governance frameworks to address the shift from AI copilots to autonomous agents. These initiatives aim to secure AI workloads and mitigate risks such as shadow AI and unmanaged identities, particularly for organizations in highly regulated sectors like finance and healthcare.

BankInfoSecurity and GovInfoSecurity recently hosted a webinar to introduce an Enterprise AI Security Policy Framework. This framework is designed to help organizations translate high-level AI security policies into enforceable technical controls.

In the public sector, authors Mark Fagan and Ben Gillies released a book in February 2026 titled Governing With AI: How the Public Sector Can Use Artificial Intelligence to Improve Performance. The text outlines six challenges unique to government entities, including resource limitations and a lack of specialized expertise. Fagan and Gillies argue that public-sector AI governance must meet a higher standard than the private sector because government authority has more significant stakes for citizens' lives.