SANTA CLARA, CA (PRWEB) September 8, 2005
Mailshell, the leading anti-spam and anti-phishing engine provider, today introduced SpamCompiler v4.0 Turbo, the first spam filter capable of dynamically increasing its throughput during spikes in email traffic. Under extreme load the engine now processes up to 100 messages per second, 20 times faster than some competitors. It increases its speed even further by intelligently suspending filter checks on a message once it determines with confidence that the message is spam.
"Mailshell provides more for less," said Tonny Yu, CEO of Mailshell. "Our engine conducts 1,000 times as many filter checks, 20 times faster and using far fewer resources than other spam and phishing filters. We also deliver greater financial value to our OEMs who see increased revenue while decreasing expenses in the first year of their relationship with us."
SpamCompiler v4.0 Turbo also features compact five-minute data updates with an overall 80% reduction in update size. The increased update frequency ensures that all newest spam and phishing attacks, including those that begin and end in less than an hour, are immediately identified and caught. Version 4.0 Turbo of the Mailshell engine is the first to provide separate categorization of phishing to safely segregate from both legitimate email and from generic spam, earning praise from customers and government regulators:
"Spam-borne scams and ID theft issues have contributed to make spam control an important area of focus for the FTC," said Don Blumenthal of the Federal Trade Commission. "Email authentication techniques can be a worthwhile addition to more conventional filters, user education, and legislative and regulatory controls."
Mailshell's SpamCompiler v4.0 Turbo is also the first solution to combine SPF-based sender authentication with quantifiable reputation data. Mailshell's global worldwide network closely tracks the reputation of emails and their senders worldwide. MailshellÂs engine includes techniques to identify and correct bad SPF records and it allows users to override and cache SPF data. By combining it with MailshellÂs patent-pending SpamRepute statistical analysis, the engine generates greater accuracy, improved identification of spoofed messages, and increased throughput.
"Threats continue to evolve and new countermeasures must evolve as well," said Greg Young, a research vice president with Gartner. "Products identifying bad content are maturing and widely available. A logical next step is inter-enterprise or peer network sharing of which threats are providing that bad content."
Mailshell's software helps its OEM partners, including Oracle Corporation, CyberGuard, Panda Software, ZyXEL, Broderbund and Lyris Technologies, among others, generate new anti-spam revenue, upsell existing products to new anti-spam customers, and cut anti-spam engineering and support costs to near zero. Companies can integrate the Mailshell Engine into their existing product or application using Mailshell's development toolkit, the Mailshell Anti-Spam SDK. In addition to the flagship Mailshell SDK, the Mailshell SDK Lite requires only 32 KB of code to add spam filtering to small footprint devices such as routers, modems, firewalls and other low memory edge devices.
Mailshell is the leading licensor of spam filtering software to OEMs and has more OEM partners with revenues in excess of $50 million than any other company in the world. It is the first and only spam engine in the world with SpamCompiler Technology, which can process more than a million filter checks in a fraction of a second. MailshellÂs SpamCompiler developers hold nearly 30 patents in database modeling and design, and are leading experts in using Artificial Intelligence technology to compile high-level languages into optimized code. Via Mailshell's OEM partners, more than 6,000 companies and 10 million consumers worldwide rely on SpamCompiler software to block spam. Mailshell was founded in 1999 and enjoys a100% renewal rate among its OEM customers. For more information: http://www.mailshell.com.
# # #