Data Loss Prevention (DLP) , Governance & Risk Management

Data Security Risk: A CISO's Perspective

Data Security Risk: A CISO's Perspective

Protecting sensitive information is especially difficult for corporations that have data stores scattered in physical, virtual and cloud-based repositories across the globe. Not only do these multinational organizations need to protect their data from countless threat actors, they must contend with exploding data growth and constantly changing, oftentimes contradictory privacy regulations in the countries where they do business.

This session will cover key topics for data and security professional in 2016, including:

  • CISO Perspective on Data Security Risk
  • The Intersection of Data Security Risk and Data Management
  • Create a 360-degree view of your data security risks
  • Deliver on-demand intelligence for prioritization, audit and governance


Never-ending threats, exploding data growth and privacy regulations challenge IT and security responsible for thousands of data stores scattered across the globe. Therefore, a data security framework is mandatory to protect your data across international regions. But in order to construct this framework, you need visibility into all your data and its attendant risk.

This webinar, hosted Bill Burns, CISO at Informatica, and featuring Josh Alpern, vice president, strategic business development, data security at Informatica and David Loshin president of consultancy Knowledge Integrity, will teach you how to gain visibility, control and understanding of your sensitive data and the financial impact of keeping it safe.

Register for this webinar and learn the why and how of devising an effective global data risk and security framework.

This informative session will also highlight how you can:

  • Understand data proliferation (AKA the "data monster")
  • Create a 360-degree view of your data risks
  • Deliver on-demand intelligence for audit and governance programs
  • Eliminate costly and error-prone manual efforts in securing your data

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