Brainshark Adds Content Encryption to Model

Aug 02, 2005

Brainshark, a provider of on-demand media communications solutions, has announced the addition of content encryption to its existing security model and hosted offerings providing secure socket layer (SSL) encryption. Brainshark's existing security model includes a multi-tiered approach that addresses application-level access, which governs use of a company's Brainshark application site and content and includes presentation-level options that are content-specific. This approach also offers a secure hosting infrastructure housed with a data center provider and operating policies that control privacy, administrative access, problem escalation, and business continuity.

Brainshark provides options at the content and application level designed to enable companies to manage access to varying types of both confidential and public content, and its safe transmission to intended audiences. Brainshark's enterprise-class security capabilities include IP and Referral Restriction, which allows companies to require that content be viewable only by those that access it from select Internet Protocol addresses, or through a referring site such as a Partner or Customer extranet; and conversely, access can also be blocked to those from select addresses as necessary. IP and Referral Restrictions can be set for select groups or folders of content, while providing more open access to public, outward-facing communications. Brainshark has a feature designed to allow companies to mirror their established password policies across login requirements for the Brainshark application, such as policy requirements with passwords that include symbols or numbers, a minimum number of characters, or requirements that users change passwords at time intervals and not repeat passwords that have been used within a pre-determined period of time. Brainshark also supports the ability to use Netegrity single sign-on for those companies, which use Netegrity's authentication solutions to assert the identity of users across applications.