Operationalising AI Security at Scale

AI is rapidly expanding in enterprise environments, often outpacing the ability of security teams to manage it effectively, as organizations struggle with limited visibility into AI systems and the data they process. The article emphasizes the urgent need for AI Security Posture Management (AI-SPM) due to the rapid, uncontrolled integration of AI technologies, a systemic lack of visibility, and the potential exposure of sensitive data. It highlights a framework for AI security, which involves discovering AI assets, understanding sensitive data flows, assessing risks, and operationalizing these insights into existing security operations. The piece discusses how tools like Harness can aid in continuously discovering and classifying AI assets, mapping sensitive data flows, detecting vulnerabilities, and integrating AI security signals into workflows like Jira and SIEM, thereby helping organizations govern AI security continuously and reduce regulatory risks.