Dtex Systems Case Studies Williams Racing's Remote Working and Cybersecurity Solution
Edit This Case Study Record
Dtex Systems Logo

Williams Racing's Remote Working and Cybersecurity Solution

Dtex Systems
Analytics & Modeling - Machine Learning
Cybersecurity & Privacy - Network Security
Automotive
Telecommunications
Discrete Manufacturing
Quality Assurance
Cybersecurity
Remote Collaboration
Cybersecurity Services
Data Science Services
Williams Racing, a Formula 1 race team, employs over 650 people who contribute to the team’s performance. This includes engineers who analyze real-time data from video analytics of their own and competitors’ cars, weather data, and over 300 sensors on the car to inform pit crews on health and performance. Cybersecurity is critical to Williams’ success on and off the track. To race competitively, their engineers need unencumbered access to the real-time data from the track and ensure that the data is not tampered with. To compete in their commercial markets, they need to protect their intellectual property from external attacks and insider threats. The COVID-19 pandemic has further complicated this task, with over 60% of Williams’ employees working remotely from unsecure home networks or remote Wi-Fi networks with unknown configuration.
Read More
Williams Racing is a Formula 1 race team that employs over 650 people who contribute to the team’s performance. This includes engineers who analyze real-time data from video analytics of their own and competitors’ cars, weather data, and over 300 sensors on the car to inform pit crews on health and performance. Williams Racing also operates Williams Advanced Engineering (WAE), which develops and sells proprietary technology to manufacturers of commercial and personal vehicles. WAE also applies Formula 1 technology and learnings to a wide variety of industry applications, including the world’s largest hydrogen-powered mine truck.
Read More
To protect their data, Williams Racing partnered with DTEX Systems. DTEX Systems allows Williams’ employees to work as they always have, with unrestricted access to the data and systems that each employee needs to perform at their best and produce innovative solutions. Rather than building and testing layers of strict rules that can delay access to information, DTEX Workforce Cyber Intelligence Platform analyzes user behavior to characterize actions that an individual typically performs, with machine learning to identify outlier behavior that may be malicious, negligent, or compromised. DTEX Systems was a good fit culturally as well; protecting data and the privacy of employees. DTEX adapts to how an organization works without globally categorizing any specific activity as good or bad. By monitoring normal activity, DTEX InTERCEPT module reliably and immediately generates alerts when users perform activities that are negligent, suspicious, or malicious.
Read More
Williams Racing employees can work with unrestricted access to the data and systems that each employee needs to perform at their best and produce innovative solutions.
DTEX Workforce Cyber Intelligence Platform analyzes user behavior to characterize actions that an individual typically performs, with machine learning to identify outlier behavior that may be malicious, negligent, or compromised.
DTEX InTERCEPT module reliably and immediately generates alerts when users perform activities that are negligent, suspicious, or malicious.
Download PDF Version
test test