AI Case Study
Quickplay safeguards its data and interconnected systems with Darktrace’s AI-enabled cyber security product
Quickplay Media leverages Darktrace’s Enterprise Immune System in order to monitor its network activity and detect threats and cyber attacks in real time, while minimising falses positives. The company has been able to obtain total visibility of its network, get alerts on anomalies and abnormal behaviours that may be threats and act proactively to prevent and avoid harmful situations.
Mobile Telecommunications Services
"When the company evaluated its cyber security investments, it chose to deploy Darktrace’s mathematics-driven Enterprise Immune System technology, due to its unique ability to detect real threats that bypass other legacy security controls, and do this in real time, as they emerge on the network.
Based on machine learning and Bayesian mathematics developed at the University of Cambridge, the Enterprise Immune System is a self-learning, cyber threat defense platform, which forms an adaptive, probabilistic understanding of ‘self’ within a network. With Darktrace, the company is capable of detecting very subtle deviations from the organization’s normal ‘pattern of life’ as they happen, and respond proactively to any anomalous behaviors that are uncovered.
In addition, Darktrace’s proprietary Threat Visualizer, a 3D graphical visualization interface, allows the company’s analysts to investigate any detected anomalies in great detail and address potential issues proactively. This enables the analysts to better understand what is happening within their information systems and focus on tangibly mitigating the most important risks to the business in real time."
Quickplay "delivers premium video to any device on any network and has powered major events such as the Olympics and the World Cup.
Reputation, data protection and relationships with the telecommunications companies that serve their video content is taken very seriously by media companies. The complexity and sophistication of today’s threat landscape has exposed the limitations of legacy solutions and how they are ill-equipped to deal with threats that they now face. This company was looking for a new and proactive approach to cyber security to stay ahead of the curve. Faced with the challenge of defending against advanced cyber- threats, the company realized that it required a next-generation security solution that would take into account its highly-connected environment and the large volumes of data that its employees handle on a day-to-day basis. The company wanted to improve its ability to preempt potential security problems quickly and stop suspicious activities from escalating."
The vendor reports that the company achieved the following "results:
* Gained an understanding of how its users, devices and network operates
* Total visibility of all network activity in real time
* Resilient defense of data and brand, while leveraging interconnectivity and human creativity
* Alerting of real anomalies that may indicate threats
* Proactive cyber intelligence capability."
"Based on machine learning and Bayesian mathematics developed at the University of Cambridge, the Enterprise Immune System is a self-learning, cyber threat defense platform, which forms an adaptive, probabilistic understanding of ‘self’ within a network."