Blog

Key Trends in AI Governance: Insights from IAPP GPS 2026

At IAPP Global Privacy Summit 2025, a clear shift emerged as organizations prioritize AI governance, privacy, and safety over pure productivity. As AI systems grow more complex, experts stress that proactive governance is now a critical business priority.

Why the Future of Privacy Programs Requires a Unified Platform Approach

Privacy is no longer just about reacting to incidents. Organizations must now manage AI risk, data, and compliance in a continuous, connected way. A unified platform brings these efforts together, giving teams the visibility and control needed to operate efficiently and stay ahead of evolving regulations.

When Does the 30-Day Clock Start Under Regulation S-P? A Guide for Privacy Incident Management

When does the 30-day clock start under Regulation S-P? Learn how “awareness” drives privacy incident management and compliance timelines.

Colorado’s AI Policy Shift Signals a New Era: Why AI Incident Management Is Now a Regulatory Imperative

Colorado’s updated AI policy marks a shift from governance to accountability. As AI systems drive consequential decisions, failures are becoming regulatory events. Organizations must be prepared to detect, investigate, and respond to AI incidents to manage privacy risk and meet evolving compliance expectations.

Why AI Incident Management Must Evolve: Insights from NIST’s New Monitoring Report

NIST’s latest privacy engineering efforts reinforce a key shift. Privacy must be embedded into risk management, not treated as a standalone function. Here’s what that means for today’s teams.

Where Broker-Dealers Will Operationally Fail Under Amended Regulation S-P

The amended Regulation S-P introduces a new layer of financial risk management for broker-dealers, centered on documented incident response, strict timelines, and defensible decision-making. The challenge is not compliance on paper. It is executing consistent, audit-ready risk management processes in practice.