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Offering Big Data DDoS ProtectionWhile Tier 1 communications providers have long made extensive cybersecurity capabilities part of their managed services portfolios, the offerings of Tier 2 telcos -- hosting providers, ISPs and MSPs -- have typically been more limited. The recent dramatic rise in DDoS (distributed denial of service) threats, however, has given service providers of nearly every stripe the opportunity to offer protection services that can enhance customer relationships while growing revenue and profits. To do so successfully, service providers will need to embrace big data as a key element of powerful DDoS protection.
The DDoS protection service opportunity As the threat grows, so to does the vulnerability. More and more businesses are investing in significant digital initiatives to fuel competitiveness, revenues and profits, and more IT assets are being outsourced to the cloud. That makes both top- and bottom-line aspects of businesses more susceptible to DDoS disruption. Luckily, it appears that the leaders of all types of businesses and government agencies are finally realizing that their organizations could be next. Partly as a result, worldwide spending on information security (according to Gartner Inc. ) was $85 billion in 2015 and is growing at a compound annual growth rate (CAGR) of 9.3%, making a projected market size of $117 billion in 2019.
Big data brings greater accuracy Legacy detection appliances are severely constrained in their CPU, memory and storage, which limit their ability to track high volumes of traffic data. They try to compensate by relying on manual configurations and resorting to a variety of computational shortcuts. But they nonetheless miss an unacceptably high percentage of attacks. The key to solving this DDoS detection accuracy issue is big data. A distributed system that scales to network traffic volume can continuously scan network-wide data on a multi-dimensional basis without constraint. And it has the computational power to apply learning algorithms to baselining. The result is 30% more accurate DDoS attack detection.
Big data analytics powers a consultative relationship Unfortunately, traditional DDoS systems are nearly devoid of real analytics. This means that to offer valuable data in the pre-sales, post-sales or managed services phase of a customer relationship, service providers have to deploy a separate tool at additional cost. That shouldn’t be the case, since customers can already send vast quantities of rich network telemetry -- traffic flow records, BGP routing, and SNMP metrics -- to the detection layer of a DDoS protection service. Big data helps by retaining all of that data in full detail, and making it possible to leverage it to advise customers with insights that add real value, cementing the trust relationship..
Home-grown, on-premises or SaaS big data? Cybersecurity services represent an important business opportunity for nearly every service provider. While Tier 1 communications service providers have long offered extensive security services as part of their managed services offerings, Tier 2 telcos, hosting providers, ISPs and MSPs have had more limited portfolio offerings. The dramatically rising DDoS threat offers service providers of nearly every stripe the opportunity to offer protection services that will gain them revenue growth, profits and closer customer relationships. However, to do so successfully, service providers need to embrace the power of big data in their DDoS protection offerings. |
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ARCHIVED | December 7, 2017, 12pm EST
Orange has been one of the leading proponents of SDN and NFV. In this Telco Transformation radio show, Orange's John Isch provides some perspective on his company's NFV/SDN journey.
Special Huawei Video
Huawei Network Transformation Seminar The adoption of virtualization technology and cloud architectures by telecom network operators is now well underway but there is still a long way to go before the transition to an era of Network Functions Cloudification (NFC) is complete. |
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