By Kevin Kirkwood As AI becomes more embedded across the workplace, organisations must rethink insider risk and prove AI investment is reducing exposure. Main article: Organisations are being pushed to move quickly on AI, and most are not hesitating. The benefits of utilising AI in the workplace are undeniable, but security challenges are proving harder to navigate as AI redefines the insider threat landscape. According to the findings of our Exabeam report, insiders, whether malicious or compromised, now pose a greater risk than external actors. This makes stronger security operations more important than ever. Redefining Insider Risk As well as overtaking external threats, the definition of the insider is no longer limited to malicious insiders in the conventional sense. This signposts a significant shift, with 76% of organisations already seeing unauthorised use of generative AI (GenAI) tools by employees. As AI deployment rises, a different kind of risk is introduced. Modern insider risk spans employees using GenAI tools outside policy, and AI and machine-assisted actions that can create vulnerabilities long before security teams have the context to respond. AI agents can operate continuously, act with limited oversight, and scale behaviour at a speed that traditional controls were never designed to handle. There’s no doubt that AI adoption will not be slowing down any time soon. But rapid adoption without stronger oversight creates a serious visibility problem, and business leaders now have to look at how AI investment is effectively reducing AI-driven insider risk. The Age of the AI Insider The issue facing organisations is not that AI has access to mission-critical data and systems, but that it can act across them continuously at a speed no human user can match. This is being driven by several factors: Scale is the first challenge. A human insider can only move so fast,