Download PDF
Cyber Resilience Leader Enhances Cybersecurity Services with TigerGraph
Technology Category
- Analytics & Modeling - Real Time Analytics
- Infrastructure as a Service (IaaS) - Cloud Databases
Applicable Industries
- Electrical Grids
- Telecommunications
Applicable Functions
- Procurement
Use Cases
- Cybersecurity
- Intrusion Detection Systems
Services
- Cloud Planning, Design & Implementation Services
- Cybersecurity Services
The Challenge
A leading cybersecurity company, known for its threat intelligence, endpoint protection, and disaster recovery services, was facing a significant challenge. The company was unable to scale their classification services with their existing SQL Server-based solution. The rapid emergence of new websites necessitated the use of accurate and timely threat data, and the execution of thousands of classifications per second across massive data sets. The company recognized the need for a completely new back-end to power their classification services, to keep pace with the ever-expanding internet.
The Customer
Not disclosed
About The Customer
The customer is a market leader in cyber resilience, offering threat intelligence, endpoint protection, and disaster recovery services for individuals and businesses of all sizes. The company is one of the first to harness the power of the cloud and artificial intelligence to stop cyber threats in real-time. One of their classification services has classified and scored nearly 100% of the Internet, generating one of the largest URL databases of its kind.
The Solution
The cybersecurity company turned to TigerGraph to overcome their scaling challenges. With TigerGraph, the company can now categorize new websites as they emerge and protect customers from web threats using real-time machine learning-based intelligence in the cloud. A sophisticated combination of global threat sensors allows the company to continuously update and expand its knowledge of classifications and risk scores. This enables the identification of new cyber threats at scale, enhancing the company's ability to protect its customers from malicious sites.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Hydro One Leads the Way In Smart Meter Development
In 2010, Ontario’s energy board mandated that time-of-use (TOU) pricing for consumers be available for all consumers on a regulated price plan. To meet this requirement, Hydro One needed to quickly deploy a smart meter and intelligent communications network solution to meet the provincial government’s requirement at a low cost. The network needed to cover Hydro One’s expansive service territory, which has a land mass twice the size of Texas, and its customers live in a mix of urban, rural, and remote areas, some places only accessible by air, rail, boat or snowmobile. Most importantly, the network needed to enable future enterprise-wide business efficiencies, modernization of distribution infrastructure and enhanced customer service. To meet these needs, Hydro One conceptualized an end-to-end solution leveraging open standards and Internet Protocols (IP) at all communication levels. The utility drew upon industry leaders like Trilliant to realize this vision.
Case Study
Selling more with Whirlpool
Whirlpool wanted to add connectivity to appliances and transform the company's relationship with customers. Traditionally, Whirlpool interaction with customers was limited to purchases made once every ten years. Connected washer and dryers provide exciting new features like remote management of start times and inter-machine communication.
Case Study
SAS® Analytics for IoT: Smart Grid
Companies face falling revenues, rising infrastructure costs, and increasing risk of outages caused by inconsistent energy production from renewable sources. Less money is coming in as more people and organizations take steps to curb their energy use. Utilities are paying more to maintain and build infrastructure due to increasing complexity, resulting from the rising number of intermittent and variable renewable energy sources connected in the distribution grid.
Case Study
Enel Secures Italian Power Generation Network
Electric energy operators around the world are working to increase the reliability and cyber resiliency of their systems. This includes Enel, a global power company that manages and monitors the Italian power grid. This grid:• Serves 31 million customers• Has a net installed energy capacity exceeding 31 gigawatts• Includes more than 500 power generation plants,including hydroelectric, thermoelectric, and wind• Is managed and monitored by Enel 24/7/365• Is operated by Terna, the Italian Transmission System Operator (TSO)Enel is responsible for the availability of the grid’s underlying ICS and industrial network. It also manages Regional Control Centers and Interconnection Centers which connect with the TSO. The TSO manages the flow of energy to the grid plus controls and remotely regulates the power generation of power plants, increasing and decreasing power production as required. The complex system of interaction and cooperation between Enel and the TSO has strong security implications as well as operational and business challenges.
Case Study
Vodafone Hosted On AWS
Vodafone found that traffic for the applications peak during the four-month period when the international cricket season is at its height in Australia. During the 2011/2012 cricket season, 700,000 consumers downloaded the Cricket Live Australia application. Vodafone needed to be able to meet customer demand, but didn’t want to invest in additional resources that would be underutilized during cricket’s off-season.