The telematics company, despite having a deep understanding of the tactics used by cybercriminals, was constrained by limited resources and budget. With a total of 100 employees, the IT operations team consisted of only five members who were tasked with handling everything IT-related, including security. The company provides telematic services to insurance clients, requiring them to store and transfer sensitive customer information regularly. Therefore, security was a top priority. However, with limited financial ability to fund a dedicated Security Operations Center (SOC) team, it became a priority to find budget-friendly alternatives. The company needed a solution that was software and operating system agnostic, and could help detect attacker behavior, increase their human expertise with artificial intelligence (AI), and address any threat or abnormal activity.

The global retail giant in the beauty industry was struggling with maintaining network security for hundreds of stores and a busy online retail business with a lean security budget. Every year, the company would hire consultants to conduct red team exercises to test the mettle of cybersecurity operations, and every year it failed. The seven-member security operations center (SOC) team was in need of a solution that would provide visibility inside the network to detect and respond to hidden cyberattackers. They needed a network detection and response (NDR) platform that would identify attackers that bypass firewalls and IPS at the network perimeter and provide visibility into threats inside the network.

The online gaming company, with operations in more than a dozen locations worldwide, was facing a rapidly changing threat landscape. Gaming companies are lucrative targets for cybercriminals, who range from solo actors to organized crime rings. An outage or data breach can cause material damage to the firm’s income, customer retention and longterm value. As a publicly traded company, it is required to meet a wide range of regulatory and compliance mandates, including PCI-DSS and GDPR. The gaming firm needs to be able to detect threats and attacks, which means having the ability to hunt for malicious activity around the clock without requiring security teams to be on site 24/7. At the same time, security analysts were overwhelmed by the volume of alerts from their security tools, such as SIEMs, firewalls and other defenses. Before selecting Vectra’s AI-driven platform, the company experienced limited visibility into threat behaviors inside its networks, which did not support the company’s priorities to deliver the best experience for gamers, guard its operations against attacks, and protect its brands and intellectual property.

The financial markets are a favorite target of cyberattackers, whether they are trying to disrupt the global economy, make a political statement or commit an act of war. From the banks to dealers, clearing houses to exchanges, the industry strives to maintain the availability and integrity of the financial infrastructure. It’s a massive challenge, where one worker’s misstep or moment of inattention can lead to compromised systems, financial loss and damage to corporate reputation. This exchange is well prepared to defend against the everyday cybercrimes of monetary gain and reputational damage as well as black swan events. To stay ahead of bad actors and criminals, it continually improves its information security controls and systems.

The EDAG Group, one of the world’s largest independent development partners to the automotive and aviation industries, fell victim to a ransomware attack on the night of March 13, 2021. A large number of their business-critical systems suddenly became unusable, and it was determined that their IT systems were under attack. The stakes were high as they were up against a ransomware attack. Their security team quickly stepped in and was able to control the attack, getting their systems back up and running. However, EDAG knew they needed an approach that would ensure no suspicious activity was left in the network and any future attacks would be thwarted.

The Australian Private Health Fund was facing a challenge with their existing cybersecurity solution, Darktrace. The number of alerts they were receiving was overwhelming and they needed a solution that would reduce these alerts and increase visibility across their hybrid environments. They were looking for a solution that would not only protect against external threats but also spot unusual employee behavior that could lead to vulnerabilities. The organization wanted to ensure the cyber wellness of their members and prevent any risk of their information being compromised in a cyberattack.

The company initially implemented Vectra AI to protect some of its legacy systems that did not support encryption at rest. This was necessary to meet compliance requirements. The company then extended the use of Vectra AI to monitor other devices and servers within its network. The company was looking for a solution that could detect anomalous behavior and reduce the time spent on looking into logs. The company also wanted a solution that could triage threats and correlate them with compromised host devices. The company was dealing with about 300 events a day, with about 10 to 15 events requiring investigation.

The organization had a gap in its cybersecurity infrastructure. They did not have a managed service and needed a solution that would help them detect malicious behavior and anomalies within the organization. They were looking for a solution that could provide actionable data and reduce the workload on their small team. They also needed a solution that could provide visibility into behaviors across the full lifecycle of an attack in their network, beyond just the internet gateway.