Blog - AI

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.

Colorado AI Law Update: What the Latest Compromise Means for Responsible AI

Colorado’s AI law (SB 24-205) takes effect June 30, 2026. Lawmakers are finalizing updates, but core compliance obligations remain: governance, transparency, and risk management.

Discover what the changes mean for your business and how to prepare now with trusted AI governance solutions.

AI Governance Starts with AI System Inventory

As AI adoption accelerates across departments, most organizations can’t answer a simple question: how many AI systems are in use? An AI system inventory provides the visibility needed to manage risks, prove compliance, and build trust across the business.

AI Governance for CISOs: From Framework Overload to Defensible Controls

As AI adoption accelerates, CISOs face growing pressure to manage risk, prove defensibility, and align controls with evolving frameworks. By partnering with privacy and legal, CISOs can transform AI governance into a chance to lead innovation, not block it.

Top AI Data Governance Strategies for 2026

AI data governance ensures data used in AI systems is accurate, secure, and ethically managed. By prioritizing compliance, data quality, and security, organizations can build trust and confidently innovate with AI. Explore best practices to overcome governance challenges and responsibly scale AI adoption.