When an AI Agent Writes Your Masking Policy, Who Owns the Audit?
Snowflake Coco can write a masking policy in seconds. But can it defend that policy in an audit? Here’s what AI-generated governance is missing.
Protecting Customer PII Shouldn’t Mean Locking Out Your Analytics Team
Retail data powers loyalty, marketing, and AI. But protecting customer PII doesn’t have to mean sacrificing the analytics that drive the business.
Protecting PII While Powering Loyalty, Marketing, and Analytics
See how retailers use tokenization and FPE to reduce PII exposure without disrupting business operations.
Can You Answer These 5 Questions About Your AI Agents?
AI agents are accessing your most sensitive data. Can you say who, what, where, when, and how much — in minutes, not hours?
10 Humans vs. 10 Agents: How AI Compounds the DIY Security Problem
AI agents don’t go home at 5pm. Here’s why giving them the same access as your human analysts is a DIY security disaster waiting to happen.
AI Governance in the Age of Agents: A New Framework for Enterprise Data Security
Most governance frameworks weren’t built for AI agents. This webinar outlines a practical framework for visibility, policy, and accountability at scale.
Why Your Data Governance Model Breaks at 2 AM
Your data governance program works great on paper. Here’s what’s actually happening to your data when nobody’s watching.
The Economic Case for Unified Data Security
One control plane. Consistent policy. No blind spots. The economic case for unified data security is stronger than most organizations realize.
Tokenization for AI and Analytics: What It Is and Why It Matters
Tokenization lets your AI and analytics teams use sensitive data freely — without ever exposing the values that make it dangerous.
Policy Drift: The Silent Failure Mode of Modern Data Security
Security policies don’t usually fail overnight. They drift. As data environments evolve, governance can quietly fall out of sync.