Why AI auditability is what every security leader should be talking about (www.techradar.com)

In a recent discussion, the Chief Information and Security Officer of Smartsheet emphasized the urgent need for AI auditability in organizations as AI tools rapidly infiltrate workflows, often without adequate oversight. The lack of traceable records regarding AI decision-making and data usage poses significant risks, particularly when erroneous outcomes arise. The shift from retrospective audits to continuous, real-time monitoring is essential for governance, enabling organizations to understand actions taken by AI systems and to establish accountability similar to human employees. The article advocates for a proactive approach to embedding audit mechanisms into AI strategies, ensuring clarity on decision authority and maintaining a traceable audit trail for AI actions. This framework not only mitigates governance risks but also empowers teams to confidently leverage AI outputs, driving productivity while safeguarding compliance. As regulatory standards evolve, embracing AI auditability will become a foundational expectation, positioning early adopters as leaders in both governance and innovation in the AI/ML landscape.