Blog - AI

AI Governance for Financial Services. Turning Regulatory Risk into Operational Control.

AI is transforming lending, fraud detection, and underwriting, but it also introduces new forms of risk that traditional IT controls cannot address. This article breaks down the key AI risks facing financial institutions, including algorithmic bias, black-box decisioning, and model drift, and explains how governance, explainable AI, and continuous oversight can turn AI into a compliant and trustworthy business asset.

What Under Armour’s Data Breach Claims Reveal About Modern Privacy Incident Preparedness

Claims that 72 million Under Armour customer records were exposed highlight how quickly privacy incidents now surface publicly. This analysis explores what the incident reveals about detection gaps, breach communication, and why proactive privacy incident management is now essential for enterprise organizations.

AI Risk in 2026. What Enterprise Privacy and Compliance Teams Are Already Managing

As AI adoption accelerates, enterprise privacy and compliance teams are being asked to manage growing risk with limited resources. Governance has become essential to maintaining visibility, accountability, and control.

The Double-Edged Sword of AI in Healthcare: Why Governance Matters

AI is transforming how people access and understand health information. But as tools like ChatGPT Health expand into sensitive healthcare use cases, strong privacy controls alone are not enough. Without clear governance, regulatory alignment, and safety oversight, the same technology that promises better care can also introduce serious risk.

Common AI Risks Organizations Overlook

AI offers powerful opportunities to improve efficiency and decision making, but the same qualities that make it valuable can also introduce hidden risk as systems scale. Understanding where organizations often fall short is key to governing AI responsibly.

What Is AI Governance and Why It Matters for Modern Organizations

As AI becomes embedded in critical business decisions, organizations face rising risks around bias, transparency, and compliance. AI governance provides the structure needed to manage these risks, meet regulatory expectations, and scale AI with confidence.