技术
- 基础设施即服务 (IaaS) - 公共云
- 基础设施即服务 (IaaS) - 虚拟私有云
用例
- 实时定位系统 (RTLS)
- 资产跟踪
关于客户
马恩河谷省议会是一个位于法国克雷泰伊的公共部门组织。它为该地区 47 个城市的 140 万居民管理所有公共服务。该组织负责管理这些居民的经济和社会活动。该组织的 IT 基础设施对其运营至关重要,并且由于计算机经常受到网络攻击,该组织面临着重大挑战。
挑战
马恩河谷省议会是一个管理 140 万居民经济和社会活动的公共部门组织,面临着重大挑战。他们的计算机(包括 IT 部门的计算机)经常遭受网络攻击。这些攻击主要是由包含已知或新恶意代码的可疑电子邮件附件引起的。尽管安装了防病毒程序,但该恶意软件非常复杂,以至于可以逃避检测。 IT 团队的任务是找到解决这一日益严重的问题的方法,以确保安全的工作环境。该组织需要保护自己免受高级威胁并实时阻止所有恶意软件,并从单个控制台管理整个环境。
解决方案
为了应对这一挑战,该委员会的 IT 部门研究了处理传统防病毒解决方案无法识别的高级威胁和“零日”攻击的现有解决方案。然后他们联系 Check Point 进行安全检查。实施的解决方案是 Check Point SandBlast 零日保护和 Check Point R80.10。 SandBlast 具有一系列优点。借助威胁仿真刀片,可以在虚拟沙箱中检查每个电子邮件附件以查找恶意代码。该技术对其进行分析并将其发送回Conseil Départemental 的IT 团队。该解决方案可以阻止已知和未知的高级威胁,并为管理员提供对管理控制台的同步且简化的访问。
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
IoT Applications and Upgrades in Textile Plant
At any given time, the textile company’s manufacturing facility has up to 2,000 textile carts in use. These carts are pushed from room to room, carrying materials or semi-finished products. Previously, a paper with a hand-written description was attached to each cart. This traditional method of processing made product tracking extremely difficult. Additionally, making sure that every cart of materials or semi-finished products went to its correct processing work station was also a problem. Therefore, the company desired an intelligent solution for tracking assets at their factories. They also wanted a solution that would help them collect process data so they could improve their manufacturing efficiency.
Case Study
Goldcorp: Internet of Things Enables the Mine of the Future
Goldcorp is committed to responsible mining practices and maintaining maximum safety for its workers. At the same time, the firm is constantly exploring ways to improve the efficiency of its operations, extend the life of its assets, and control costs. Goldcorp needed technology that can maximize production efficiency by tracking all mining operations, keep employees safe with remote operations and monitoring of hazardous work areas and control production costs through better asset and site management.
Case Study
Leading Tools Manufacturer Transforms Operations with IoT
Stanley Black & Decker required transparency of real-time overall equipment effectiveness and line productivity to reduce production line change over time.The goal was to to improve production to schedule, reduce actual labor costs and understanding the effects of shift changes and resource shifts from line to line.
Case Study
Buoy Status Monitoring with LoRa
The Netherlands are well-known for their inland waterways, canals, sluices and of course port activities. The Dutch Ministry of Infrastructure indicates that there are thousands of buoys and fixed items in and near water environments that would profit from IoT monitoring. One of the problems with buoys for example, is that they get hit by ships and the anchor cable breaks. Without connectivity, it takes quite some time to find out that something has happened with that buoy. Not to mention the costs of renting a boat to go to the buoy to fix it. Another important issue, is that there is no real-time monitoring of the buoys at this moment. Only by physically visiting the object on the water, one gains insight in its status.
Case Study
IoT Based Asset Tracking System
The existing system used by the customer could only track a few thousand assets and was able to generate only a few standard set of reports. As the number of assets tracked grew exponentially, the system started to break at the seams. The Tracking devices were from different manufacturers following different protocols. There was no proper integration among the devices to send instant alerts. There are thousands of tracking devices spread across multiple geographies, that are moving. The configuration and troubleshooting of these devices incurred heavy costs, which was a logistics challenge. The existing system did not provide sophisticated Analytics, Business Intelligence and Insights from the data