Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

‍ Artificial intelligence (AI) is transforming businesses rapidly, but weak AI governance creates significant risks. Without proper oversight, organizations face costly data breaches, operational failures, and damage to their reputation. This article explains why strong AI governance is essential to managing these risks.

As AI becomes embedded in insider risk platforms, organizations are evaluating more than detection capabilities. Governance, data privacy, model control, and transparency are now central to the assessment of AI-enabled IRM solutions.

Single Sign-On (SSO) means fewer password headaches, faster access, and better security for human users. But the same cannot be said for AI agents. SSO, a core part of Identity and Access Management (IAM), which was initially built for humans, can no longer be used for AI agents. For humans, it was quite simple - just log in once, and authenticate across connected apps. However, when an AI agent tries to authenticate the same way, the traditional access model breaks fast.

Clinicians are pasting patient summaries into ChatGPT to draft discharge instructions. Billing staff are uploading claim data to AI writing tools to speed up appeals letters. Nurses are using consumer AI assistants to look up drug interactions between patient visits. None of this was approved by the security team, and most of it would surprise the compliance officer.

Every week, someone in your organization stands up an AI service. Maybe they told security about it, but probably not. By the time it shows up in your inventory, it has been running for weeks, processing data, calling external APIs, and doing things nobody formally reviewed.