Third-Party Data Risk Visibility
Course
Manjunath Pasupuleti of ENNOVI presents a real-world case study on building third-party data risk visibility as the essential foundation for responsible, mature AI deployment across the enterprise.
Organizations rushing to deploy artificial intelligence are overlooking a foundational risk: the third-party vendors and SaaS tools processing their data often carry unvetted vulnerabilities, biased training data and opaque architectures. Without visibility into these risks, AI maturity is built on unstable ground.
In this session, Manjunath Pasupuleti, global head of IT and OT security and CISO at ENNOVI, will share insights on:
- How to build a risk registry and compliance questionnaire framework that surfaces hidden vulnerabilities in third-party AI platforms before deployment;
- Why continuous, automated vendor monitoring - mapped against standards such as ISO 27001, NIST AI RMF and CSA STAR - is the foundation of sustainable AI governance;
- How a phased rollout across finance, HR, procurement and supply chain achieved a significant reduction in technology partner risk exposure.
Here is the course outline:
Third-Party Data Risk Visibility: The Foundation for Enterprise AI Maturity |
Completion
The following certificates are awarded when the course is completed:
 |
CPE Credit Certificate |
