Governance for Fast-Moving AI: Securing Emerging Vulnerabilities

Imagine starting your workday to find all your company’s sensitive data has been leaked due to a nearly imperceptible hack embedded in an AI prompt. The culprit isn’t the AI model but rather a lack of protections surrounding it. When rapidly adopting AI at scale, many organizations unintentionally ignore a crucial element: security and governance. Often, companies will only add operational AI rules post-deployment. However, this approach creates hidden blind spots and slows security teams’ responses when threats inevitably appear. In this presentation, Mark Toler will reveal why AI practitioners must integrate proactive guardrails and governance into AI workflows prior to deployment and continuously adapt these measures to emerging threats at runtime. Mark will show the urgent need for governance, demonstrating how hackers can exploit the latest zero-day vulnerabilities and take advantage of lax governance to amplify their impact across enterprise AI systems. He will share audit-ready governance strategies including embedding guardrails and real-time threat monitoring into AI pipelines, controlling AI access to internal systems, and identifying model drift with explainability tools. Attendees will gain a clear understanding of the unique security risks AI poses to organizations and how to put security and governance measures into practice without creating performance or efficiency bottlenecks.