Blog - AI

What is an AI Governance Framework & How to Implement Yours

An AI Governance Framework is a structured set of policies, procedures, and controls that ensure artificial intelligence systems are developed, deployed, and monitored in alignment with an organization’s ethical, legal, and operational objectives. It bridges innovation with accountability, ensuring that AI initiatives uphold privacy, security, and fairness while maintaining regulatory compliance.

When Consumer Anonymity Meets Compliance

Peer-to-peer payment apps promise privacy and convenience but behind every transaction lies a complex balance between consumer trust and regulatory compliance. Explore how financial institutions can navigate the tension between anonymity and accountability to build systems that inspire both confidence and compliance.

Find Clarity in AI Compliance: Two Essential Tools for Readiness and Maturity

Too many organizations struggle to answer: Are we ready for the next audit? Can we defend our program? Where do we fall short? In today’s fast-changing regulatory landscape from U.S. state privacy laws to the EU AI Act, compliance leaders need more than guesswork. Our Compliance Readiness Checklist and Maturity Benchmark Worksheet provide a roadmap for building defensible, scalable programs in privacy, AI governance, and regulatory compliance.

Scaling Privacy Principles Into AI Governance: A Leadership Playbook

AI governance is the next frontier for privacy leaders. The same principles that built resilient privacy programs, consistency, defensibility, and foresight, are now the blueprint for governing AI risk. From embedding AI by design to establishing scalable guardrails and adopting global standards, this playbook shows how to transform privacy stewardship into enterprise AI governance leadership.

IBM 2025 Data Breach Report: Why AI Governance Is Your Team’s Next Priority

IBM’s 2025 Cost of a Data Breach Report confirms what many leaders already suspect: unchecked AI adoption is no longer hypothetical; it’s costly. From shadow AI tools that add $670K per incident to attackers weaponizing AI for phishing and deepfakes, the risks are rising fast. Yet the report also shows a path forward: organizations that govern AI and invest in AI-powered defenses save nearly $2M per breach. For teams across security, marketing, IT, and compliance, the takeaway is clear: AI governance isn’t optional.

AI Governance FAQ for Privacy Leaders: From Privacy by Design to Red/Yellow/Green Guardrails

Strong data privacy programs provide the blueprint for AI governance. This practical FAQ answers the top questions privacy leaders face as they extend governance to AI—covering Privacy by Design, cross-functional collaboration, regulatory baselines, AI inventories, and the use of Red/Yellow/Green guardrails to balance innovation with defensibility.