The Schellman Blog

Insights from a conversation with Nick Rundhaug, Managing Director and Federal Practice Leader at Schellman. See his full interview here.

AI governance has become one of the most consequential disciplines impacting enterprise-level organizations today. It determines not only whether organizations can manage AI-related risks, but whether they can build and prove the trust, accountability, and operational confidence needed to use AI effectively. Despite its importance, governance is often treated as a supporting function focused on policies, checkbox compliance procedures, and assigned responsibility.

Cyber insurance renewals have changed, have you noticed?

Former Chase Chief Risk Officer and McKinsey and BCG senior partner brings decades of risk governance and growth-stage leadership as Schellman builds toward its next chapter.

FedRAMP's modernization effort, known as FedRAMP 20x, is continuing to advance. On August 31, 2026, the FedRAMP 20x program opened Class B and Class C as the next phase of its rollout. Under the program's official Consolidated Rules for 2026 (CR26), Class B pipeline replaces the old Low impact level for small-scale cloud services, and the Class C pipeline replaces the old Moderate impact level for common enterprise services.

This article was drafted based on a LinkedIn Live discussion between Schellman’s Nick Rundhaug and SecureIT's Tim Sandage and Corey Clements. View their full conversation here.

I made it back from Las Vegas with a pile of notes, way too many stickers, three new badges around my neck, and a list of research rabbit holes long enough to keep me busy until next August. This year's floor leaned hard into AI-assisted red teaming, autonomous attack chains, and some of the most practical social engineering research I've seen at a con.

Most enterprises have a sense of who owns AI risk, yet few know what happens when that risk turns into an incident.