Programs and Events
April 20 – April 24, 2015 Moscone Center
San Francisco, CA, United States
As data has become an increasingly valuable corporate asset, hackers and data thieves continue their relentless drive to thwart protection measures. A serious data breach causes immeasurable damage to corporate reputation.
Enterprises today must have a complete data protection strategy, using proven encryption, tokenization and data de-identification approaches that protect the data itself, not just the data containers and network perimeters.
As the leading expert in data-centric encryption and tokenization, Voltage provides data security solutions for:
- Many of the world’s largest merchants and retailers.
- Six of the eight top U.S. payment processors.
- Seven of the 10 top U.S. banks.
- Thousands of mid-sized businesses including healthcare organizations, regional banks and insurance providers.
- Millions of individuals using Voltage to secure sensitive information in emails sent to local healthcare providers, law offices and insurance brokers, to name a few.
Voltage was created to solve the industry’s biggest problem: making encryption and tokenization of data simple for even the most complex use cases. Voltage has solved this challenge through cryptographic innovations such as Identity Based Encryption (IBE), Voltage Format Preserving Encryption, Secure Stateless Tokenization and Stateless Key Management.Learn More
Press and Newsroom
News Release: March 24, 2015
Frost & Sullivan Acclaims HP Security Voltage for Product Leadership in Big Data and Analytics
News Release: February 18, 2015
With Data Breaches in the Headlines, Data-Centric Security Takes Center Stage at Strata + Hadoop World
News Release: December 9, 2014
Voltage Extends Capabilities of Voltage SecureData Suite for Hadoop to Make Data Protection More Accessible to All Hadoop Users
News Release: October 1, 2014
Datacap Systems Adds Support for Voltage Security™ P2PE
News Release: September 24, 2014
Voltage Security Introduces Data-centric Protection for Sensitive Data in Hadoop