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Titan IC is exhibiting at Infosecurity Europe 6-8th June 2017 at London Olympia

Posted on May 11, 2017

Titan IC is exhibiting at Infosecurity Europe, from 6th to 8th June 2017 at the Olympia exhibition centre in London on the Invest Northern Ireland (InvestNI) stand number M105

Titan IC licenses its soft IP Regular eXpression Processor (RXP) to tier 1 and tier 2 cybersecurity appliance manufacturers who want a market leading and proven deep packet inspection solution to differentiate their products.  Helios RXPF delivers up to 10 times the pattern matching and string matching performance when compared with a software optimised application running on commodity host multicore CPUs. 

Titan IC is working to deliver Helios F1, an FPGA based Regular Expression Processor hosted on an Amazon Web Services AWS F1 instance and available to run direct from the AWS marketplace.  As one of the AWS launch partners we are at the forefront of bringing this new technology to the marketplace.  The ability to perform fast accelerated network packet inspection in the cloud and to scale and load balance the processing power by simply starting new Helios F1 instances offers the potential for better performing cybersecurity threat detection systems that can meet the demand from Internet of Things and 5G mobile networks.

Helios RXPF is an FPGA Regular Expression Processor IP capable of throughputs from 40G to 80G, is now on version 5.4 and gaining acceptance within the market as the best performing and easiest to integrate IP available.  

Helios RXPA is an ASIC or System on Chip (SoC) Regular Expression Processor IP specifically targeted to providing Deep Packet Inspection functionality, IP packet payload processing for ARM-based platforms.  

Hyperion, is an FPGA Regular Expression Processor based on a Titan IC designed and UK quality manufactured PCIe accelerator card.  Hyperion can be used to accelerate software based cybersecurity applications running on host CPU by offloading and accelerating the pattern matching and string matching computational demands.