Data Encryption: If they Can't Sell It, They Won't Steal It

Share this article:
Data Encryption: If they Can't Sell It, They Won't Steal It
Data Encryption: If they Can't Sell It, They Won't Steal It

Click here to register

Data Encryption: If they Can't Sell It, They Won't Steal It

Date: Wednesday, June 6th
Time: 11:00 a.m. PT / 2:00 p.m. ET

As cybercriminals have become more skillful and sophisticated, the constantly mutating threat landscape requires new defensive measures. How can companies prevent cybercriminals from monetizing stolen data? Hear a leading Forrester analyst and Vormetric share their latest research and tips for protecting your sensitive data.

Register today and learn how:

  • Encryption is the cornerstone of an enterprise data security and privacy strategy
  • Centralized key management holds the key to killing data breaches
  • Encryption is critical for multitenant cloud security
  • Enterprise encryption protects both structured and unstructured data in physical, virtual and cloud environments

Featured Speakers:
John Kindervag, principal analyst, Forrester
Todd Thieman, senior director, product marketing, Vormetric

Sponsored by:

Click here to register
Share this article:
You must be a registered member of SC Magazine to post a comment.

Sign up to our newsletters

More in Vendor Webcasts

Top four recommendations to enhance your data security strategy

As the volumes of data in organizations continue to surge, being able to effectively protect sensitive information is becoming increasingly difficult.

Tapping global threat intelligence to secure enterprise networks

On July 9, 2014, the Cybersecurity Information Sharing Act (CISA) passed the Senate Intelligence Committee in a 12-3 vote. The legislation encourages threat information sharing between government and the private sector

Mitigating employee risk - Keep hires from starting fires

Employees are an organization's greatest asset and greatest risk. With a single click an employee can devastate a business by transferring or damaging huge amounts of data.