INFOGRAPHIC:
One of the biggest shortcomings of traditional user ID and password logins is that passwords can be easily compromised, potentially costing organizations millions of dollars. In this infographic we outline the key pros and cons of adopting multifactor authentication to protect users' identities and secure your systems.
EGUIDE:
Many organisations can't delineate where cloud service provider (CSP) responsibilities end and their own responsibilities begin, opening them to numerous vulnerabilities. This infographic will help you understand the top cloud security challenges your organisation is likely to face and how to mitigate them.
WHITE PAPER:
In this white paper, learn why Amazon Web Services (AWS) is a leading cloud service, with a strong partnership with a security provider that provides 6 additional security enhancements to better protect data.
EGUIDE:
Multifactor authentication (MFA) can be a critical component of an enterprise security strategy, but choosing the right product or service is a challenge. Access this e-guide to learn about 8 of the top MFA products in the market, and determine which is best for your enterprise.
WHITE PAPER:
Access this resource to learn about the top 3 challenges with clinician desktop and workspace productivity, and which key strategies (e.g. desktop virtualization, single sign-on, etc.) will help enhance workflows, therefore improving clinical IT adoption.
WHITE PAPER:
Read this e-book for essential information on common security issues with privileged account management (PAM) – and how you can minimize or eliminate them.
WHITE PAPER:
This white paper highlights a cloud security management solution that offers visibility into who is accessing encrypted data in your environments, enabling you to ensure data security and regulatory compliance.
EGUIDE:
The most important part of single sign-on (SSO) deployment is planning. In this e-guide, security experts Joel Dubin and Eric Klein offer SSO best practices for deployment and integrating mobile app access.
WHITE PAPER:
Many enterprises rely on Hadoop to manage and analyze large volumes of data, and as such, they are looking to deploy the right architecture to optimize compute and storage requirements. The traditional approach is running Hadoop on DAS -- but is there a better way?
