公司规模
Large Corporate
地区
- America
国家
- United States
产品
- Automated Risk Analysis Platform (ARAP)
技术栈
- Amazon Web Services (AWS)
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 平台即服务 (PaaS) - 连接平台
适用行业
- Software
适用功能
- 商业运营
用例
- 网络安全
服务
- 系统集成
- 测试与认证
关于客户
Gainsight™ is a leading Customer Success Company that helps businesses grow faster by reducing churn, increasing upsell, and driving customer advocacy. The company operates in the software industry and has a significant presence in the United States. Gainsight's main challenge was the need for network visibility of all assets running in their Amazon Web Services (AWS) cloud account. They also needed to identify how they measured up to compliance frameworks and industry guidelines. The team needed a solution that could automate their audit compliance without having to worry about manually keeping up with the constantly changing compliance regulations.
挑战
Gainsight, a leading Customer Success Company, was facing a couple of challenges. Firstly, they needed network visibility of all assets running in their Amazon Web Services (AWS) cloud account. Without this visibility, they were operating at a disadvantage, unable to manage and remediate risks effectively. Secondly, they needed to identify how the company measured up to compliance frameworks and industry guidelines. The team needed a solution that could automate their audit compliance without having to worry about manually keeping up with the constantly changing compliance regulations.
解决方案
Cavirin worked together with Gainsight to implement their Automated Risk Analysis Platform (ARAP) in Gainsight's AWS cloud environment. ARAP is an agentless platform that continuously monitors cloud-based, hybrid, and on-premise environments. It seeks out configuration changes and identifies new devices. All discovered devices and cloud accounts are assigned a risk score based on security and compliance guidelines applied by the client. ARAP’s unique powerful policy engine helps companies stay in compliance with dozens of industry regulations, frameworks, and/or best practices like PCI, HIPAA, NIST, ISO, CIS, and more. The deep discovery engine continuously scans all environments, flagging policy violations and misconfigurations, and compiles a pass/fail balanced scorecard that can be easily shared with management, auditors, and customers.
运营影响
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
Infosys achieves a 5–7 percent effort reduction across projects
Infosys, a global leader in consulting, technology, and outsourcing solutions, was facing significant challenges in application development and maintenance due to its distributed teams, changing business priorities and the need to stay in alignment with customer needs. The company used a mix of open source, home-grown and third-party applications to support application development projects. However, challenges resulting from distributed teams using manual processes increased as the company grew. It became more and more important for Infosys to execute its projects efficiently, so they could improve quality, reduce defects and minimize delays.
Case Study
Arctic Wolf Envelops Teamworks with 24x7 Cybersecurity Protection and Comprehensive Visibility
Teamworks, a leading athlete engagement platform, faced rising cyberthreats and needed enhanced visibility into its network, servers, and laptops. With software developers connecting from all over the world, the company sought to improve its security posture and position itself for future growth. The company had a secure platform but recognized the need for a more proactive solution to identify gaps within its technology infrastructure. Data exfiltration and malicious access were top concerns, prompting the need for a comprehensive security upgrade.
Case Study
Sawback IT and Datto Save Client From a Costly Mistake
Ballistic Echo, a software development house, faced a critical challenge when human error led to the deletion of thousands of lines of unique code. This incident occurred before the code was pushed to source control, resulting in significant loss of time, revenue, and work. The previous file-level backup solution they used was slow and inefficient, making it nearly impossible to manually recreate the lost work. The need for a more reliable and efficient business continuity solution became evident to avoid such disasters in the future.
Case Study
Opal Helps Customers Shine Thanks to Datto
SP Flooring & Design Center faced a ransomware attack that encrypted and locked their files. The attack was initiated through a compromised service account set up by an outside vendor. The ransomware infection was isolated quickly, but there was a concern about the extent of the data at risk. The company had backups in place but was unsure of how much information was compromised. The situation required immediate action to prevent further damage and restore the affected data.
Case Study
Zapier Aggregates Multiple Analytics in a Single Dashboard with the New Relic Platform
Zapier, a company that enables non-technical users to push data between hundreds of web applications, was facing a challenge in automating and provisioning servers for optimal performance. The company's environment consisted of 50 Linux servers on the Amazon Elastic Compute Cloud (EC2), a Django application split across several servers, and a backend consisting of a dynamic number of celery task workers fed by messages published to a RabbitMQ cluster. They also maintained a number of internal web services on nginx in front of Gunicorn and Node.js processes. Redis handled simple key and value stores, with logging handled by Graylog2 and ElasticSearch. However, they realized that no level of automation would be sufficient without an effective monitoring solution in place. They needed a tool that could provide immediate alerts when something was breaking and could be easily implemented into their environment.
Case Study
Pipeline Insight Case Study: YARCDATA
YarcData faced challenges in determining the conversion rates of prospects into customers through various marketing efforts and identifying the source of its leads. They wanted to know the percentage of opportunities in the sales pipeline that came from different marketing events, web downloads, or self-sourced sales opportunities. Additionally, they needed the ability to drill down into the data to guide where to allocate more marketing dollars based on the success of previous efforts. Previously, YarcData relied heavily on spreadsheets and Salesforce.com reports, which made it difficult to extract the exact information they needed. This reliance on spreadsheets represented about 70% of their data presentation.