RSA unveils centralised security management tool

By
Follow google news

RSA has released a new version of its Card Manager software to centrally manage various security authentication tools.

RSA unveils centralised security management tool
Unveiled at the Gartner IT security summit in London, the package is designed to allow business leaders to manage numerous security credentials, such as usernames, passwords and digital certificates, in one central management platform, according to RSA.

It also aims to help IT security managers enrol and identify users, install software security credentials, renew and suspend credentials, print smart cards and expedite replacements.

“Enterprises [can achieve] their potential by strengthening security through the use of diverse credentials,” said Christopher Young, vice-president and general manager of the identity and access assurance group at RSA.

“Unified management of an enterprise’s mix of authentication types across the entire credential lifecycle is essential to mitigating security risk.”

The software is fully integrated with RSA Authentication Manager, a two-factor authentication tool for issuing and managing other devices within Card Manager, such as smart card tokens and hardware authenticators.

The new version of RSA Card Manager is available now for RSA SecurID two-factor authentication customers.  Pricing depends on package.

Add iTnews as your trusted source

Got a news tip for our journalists? Share it with us anonymously here.
Copyright © SC Magazine, US edition
Tags:

Most Read Articles

US medical device maker Stryker's Microsoft environment attacked

US medical device maker Stryker's Microsoft environment attacked

Poor WA gov M365 security led to $71k theft and children's data breached

Poor WA gov M365 security led to $71k theft and children's data breached

CBA chief impersonated in global investment fraud on Facebook

CBA chief impersonated in global investment fraud on Facebook

Services Australia describes fraud, debt-related machine learning use cases

Services Australia describes fraud, debt-related machine learning use cases

Log In

  |  Forgot your password?