DarkTrace Case Studies Enhancing Security Precision with IoT: A Case Study of Guardsman Group
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Enhancing Security Precision with IoT: A Case Study of Guardsman Group

DarkTrace
Enhancing Security Precision with IoT: A Case Study of Guardsman Group - DarkTrace Industrial IoT Case Study
Analytics & Modeling - Machine Learning
Cybersecurity & Privacy - Identity & Authentication Management
Equipment & Machinery
National Security & Defense
Human Resources
Quality Assurance
Personnel Tracking & Monitoring
Tamper Detection
Cybersecurity Services
Guardsman Group, a leading security company in the Caribbean, faced a significant challenge in maintaining the security of its digital infrastructure. The company provides security equipment, personnel, and systems for various businesses across the region. However, one of its offices experienced a security incident that affected all communications at that location. The existing security tools were not sufficient to provide the necessary protection, and it took hours to identify the source of the issue. This incident highlighted the need for a dynamic solution that could proactively identify threats. The company's primary concern was any disruption to its business, as it manages a significant portion of Jamaica's money and cannot afford for its operations to go down.
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Guardsman Group, headquartered in Kingston, Jamaica, has been providing security systems and personnel for private and public organizations in the Caribbean for over 40 years. The company has 26 subsidiaries and affiliated companies and employs over 8,000 employees and subcontractors. Guardsman Group and its subsidiaries are leaders in security, serving clients across all industries around the Caribbean. The company provides security equipment, personnel, and systems for some of the most prominent businesses in the region, managing a significant portion of Jamaica's money.
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Guardsman Group

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To address this challenge, Guardsman implemented the Darktrace Immune System platform, including Darktrace Antigena, across its digital infrastructure. This technology uses unsupervised machine learning to understand the organization's unique digital DNA, thereby protecting Guardsman's digital assets and sensitive data. It can autonomously respond to machine-speed attacks such as ransomware before any damage can be done. Guardsman also sought a cybersecurity solution that could provide visibility and protection against escalating email threats. They found this in Darktrace's Antigena Email, which understands the human behind the email address and takes targeted action against abnormal and threatening emails while allowing benign interactions to continue without interruption. In addition, Guardsman benefits from Darktrace's 24/7 Proactive Threat Notification service, which provides an additional layer of protection by sending alerts directly from a Darktrace Security Operations Center analyst to Guardsman's IT team when incidents indicative of a serious, emerging attack are identified.
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The implementation of Darktrace's technology has significantly improved Guardsman's security operations. The company now has enhanced visibility into its environment and can proactively identify threats. The self-learning AI technology provides autonomous protection, responding to machine-speed attacks before they can cause damage. Guardsman's IT team manages the AI deployment from Darktrace's user interface, the Threat Visualizer, on a daily basis. If they ever have an issue, they have the rapid support of Darktrace's award-winning Customer Success and Proactive Threat Notification service. This support gives Guardsman the feeling of having an extra member on its team. The company's General Manager of Risk, Compliance, and IT, Damian Blair, has stated that Darktrace's AI has been critical to them and that he does not feel the need to utilize additional personnel for threat hunting because Darktrace's technology fills that role.
Achieved self-learning protection of email accounts and users
24/7 expert cyber and customer support
Rapid identification and response to threats, reducing the time taken to identify the source of issues from hours to minutes
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