Securing AI: addressing the vulnerabilities 95% of organizations miss

Organizations increasingly recognize security gaps in AI, with 95% believing they could better protect generative AI models. Alarmingly, 29% of Gen AI projects have led to data leaks, while 64% exposed data internally.

This webinar explores critical security considerations for AI deployments, including:

· Applying zero-trust models and least-privilege access controls to AI data governance
· Implementing enterprise-grade data services for containerized AI workloads
· Securing access points across multi-cloud environments

Access the webinar to learn how security-by-design principles can mitigate risks in AI infrastructure.