Secure Gen AI Production Best Practices
Course
Devvret Rishi of Rubrik provides blueprints for production-ready gen AI architectures that balance security, performance and cost through fine-tuned models and governance frameworks.
Security leaders want generative AI that advances innovation without expanding risk.
Organizations face three critical challenges when deploying gen AI: security posture gaps from proliferating AI tools accessing sensitive data, quality gaps requiring higher accuracy than out-of-the-box performance, and efficiency constraints from resource-intensive large models. Traditional approaches rely on commercial APIs that create data exfiltration risks and vendor lock-in, whereas production-ready architectures require observability for tracking AI calls and data flows.
In this session, led by Devvret Rishi of Rubrik, you will learn:
- How to implement observability, prevention and remediation pillars for secure AI deployment;
- Which fine-tuning strategies achieve superior performance with smaller, cost-effective models;
- How to build governance frameworks that enable innovation while maintaining security controls.
Here is the course outline:
Secure Gen AI Production: Best Practices for High-Performance, Security-First Architecture |
Completion
The following certificates are awarded when the course is completed:
 |
CPE Credit Certificate |
