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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.

 As a global company with over 1,200 employees and 24 subsidiaries, KTR systems has a diverse and complex digital infrastructure to protect. With increasingly subtle and sophisticated cyber-attacks targeting every corner of the digital ecosystems, the IT team sought a new approach that could detect and autonomously respond to these threats.

KTR Systems, a global company with over 1,200 employees and 24 subsidiaries, was facing a significant challenge in protecting its diverse and complex digital infrastructure from increasingly sophisticated cyber-attacks. The company's traditional security tools, which relied on historical data to detect threats, were proving ineffective against novel attacks. In 2019, KTR Systems fell victim to two instances of CEO fraud, confirming that their security measures were inadequate. The company's IT team was also limited in its ability to monitor global workforce activity around the clock. Furthermore, the company suffered an attempted ransomware attack, which, although thwarted before causing damage, highlighted the need for a more robust security solution.

Calligo, a data service provider, was facing a significant challenge in safeguarding sensitive customer data from phishing attacks and spoofing emails. The situation was exacerbated during the rapid transition to remote working in 2020, which saw an increase in the number of sophisticated phishing emails that their existing security tools were unable to stop. These included fake invoices sent to the accounting team. While their legacy tools were effective at stopping spam and other common threats, they failed to catch the novel attacks increasingly targeting the workforce. Calligo's Chief Information Security Officer, Mark Herridge, acknowledged that their existing email protection had gaps, particularly in dealing with phishing and spoof messaging. The company needed an email security solution that could provide better visibility across their vast digital ecosystem and stop advanced email-borne threats that would otherwise go unnoticed.

EV Group, a leading semiconductor manufacturer, was grappling with the complexity of its digital infrastructure. The company's security team was seeking packet-level visibility to improve their security posture. They were relying on log-based SIEM technology, which provided an overview of the digital estate but lacked packet-level insight at the network traffic layer. This meant that security incidents were not being recognized and controlled quickly enough. The primary goal was to minimize the time between an event happening and it being acknowledged, ideally less than 10 minutes. The team trialled Darktrace alongside other tools, deciding on Darktrace's Self-Learning AI primarily because of the accuracy of its detections.

Confiar, a Colombian Financial Cooperative, was facing a significant challenge in safeguarding its clients' sensitive data against fast-moving threats like ransomware. Despite having traditional security tools such as firewalls, anti-virus, and email protection, the Cooperative needed a solution that could understand user behavior and protect against novel and sophisticated threats that could evade these traditional solutions. The Cooperative was also aware of the increasing prevalence of social engineering, hidden malware, and unauthorized data transfers, and recognized the need to incorporate AI into its security stack to protect its users and data in this new era of dynamic cyber threats. During the initial trial of Darktrace's Self-Learning AI, several vulnerabilities across employee devices were identified that the organization wasn't previously aware of.