Neta Haiby, Partner Product Manager, Security at Microsoft, emphasizes the importance of securing AI applications with Microsoft Defender for Cloud. She highlights key security challenges organizations face when adopting AI, including data leaks, injection attacks, and regulatory compliance. AI security extends beyond traditional threats to include model vulnerabilities, prompt injections, and amplified data risks. Defender for Cloud provides a layered security approach, integrating security posture management, threat protection, and real-time monitoring across AI workloads. It enables visibility into AI assets, detects vulnerabilities, and helps developers remediate security gaps. As AI adoption grows, securing custom-built applications becomes essential to safeguarding data, models, and user interactions.