Icy.tools, an NFT Analytics Platform, was facing significant challenges in scaling requests and dealing with rate limits on competing platforms. The company's mission is to make visibility and analysis of transactions in the NFT space more digestible, focusing on indexing blockchain data on ERC721 transfers and OpenSea orders. They collect as much data as possible directly from the blockchain, reducing the risk of relying on third-party services or APIs that can revoke access. However, the volume of requests was causing issues, and they were running into rate limits not just with public endpoints, but also with other node service providers. The co-founders, with over 15 years of experience in building and growing products at early-stage startups, were looking for a solution that could provide more insights and discoverability to the NFT projects for better tracking.

Oikos, a DeFi application using Binance Smart Chain, aimed to bring the benefits of DeFi to Latin America and the world. The platform allows users to trade without liquidity limitations through Oikos-powered smart contracts. However, Oikos faced significant challenges when they migrated their platform from a different chain to Binance Smart Chain. They were using a self-hosting solution to connect to Binance Smart Chain, which led to data falling out of sync, nodes going down, and inconsistent information across different nodes. This negatively impacted the user experience, with trades taking up to 6 hours and in some cases, resulting in lost customers. To be successful, Oikos realized they needed a reliable connection to Binance Smart chain and a node service that could keep up.

Fairdesk, a derivatives exchange, was striving to build the fastest, most secure product in the market. They had the support of several chains including BTC, Ethererun, BSC, LTC, Doge, and Tron. However, maintaining the BSC infrastructure proved to be a significant challenge. The full node was filling disk space at tens of Gigabytes per day, leading to heavy disk reads and writes. This situation required constant engineering cycles, which were being spent daily on maintaining the BSC infrastructure. This not only diverted resources from core product development but also led to high operational costs, with spending reaching $2000 at AWS.

UniCrypt, a platform offering a browser for all ERC20 tokens and pairs on UniSwap, faced a significant challenge in accessing the Ethereum blockchain. The nature of their operations demanded not just any level of access, but the fastest nodes on the planet, coupled with unlimited queries for optimal functioning. Any glitch or hiccup in the system could potentially disrupt their services, leading to customer dissatisfaction and potential loss of business. The challenge was to find a solution that could provide this high level of access and speed, without incurring prohibitive costs.

The case study revolves around a global packaging provider that delivers sustainable solutions to various industries. The company had recently undergone a process of consolidation, which led to it becoming a globally integrated business. This expansion significantly increased the company's threat profile. The company was concerned about the broader cybersecurity challenges affecting the manufacturing industry and feared that a cyber-attack could lead to system downtime, negatively impacting production and financial performance. The manufacturer relied on several specialist industrial control systems running legacy, unsupported software. The company needed to mitigate the risk of being unable to patch critical systems by enhancing its ability to proactively monitor them for threats that might exploit any unpatched vulnerabilities. The company's decision to migrate workloads to the cloud had also intensified its need to improve threat coverage and visibility. The existing SIEM system offered only limited visibility across its hybrid environment and did not provide assurance that attacks would be identified quickly enough to minimize damage and disruption.

A specialist bank identified that its security controls were not adequately addressing the potential cyber security threats it faced. Despite not having the risk profile of a Tier 1 bank, the bank was aware of its vulnerability to cybercriminals due to the large volumes of personal and financial data it processes. The risks were further increased because the bank operates across a hybrid environment encompassing legacy on-premises infrastructure and an increasing number of workloads in the Amazon Web Services cloud – including a recently launched online banking portal. The bank was experiencing a growing number of attacks and was worried about the consequences of breaches going undetected. The bank's existing SIEM technology was not providing complete threat visibility and investigating a high volume of false positive alarms was proving too time and resources intensive for the organisation’s small in-house security team. The bank needed a managed security partner that could help it swiftly identify and mitigate cyber threats both inside and outside of regular working hours, as well as help meet the requirements of the GDPR, the Financial Conduct Authority and the Prudential Regulation Authority.

A leading independent insurance broker, specializing in providing insurance advice for high-value business mergers and acquisitions, was compromised by a cybercriminal. The firm was used as a platform to launch a Business Email Compromise (BEC) attack, designed to trick one of its clients into paying two open invoices, with a total value close to £300k, into an alternate bank account. The attack was detected before any payment was made, thanks to a vigilant member of staff from the client company who insisted on verbal verification of the financial details supplied. However, the firm was keen to understand the extent of the compromise and how to safeguard against similar threats in the future. They needed support from an expert cybersecurity company to help shed light on events surrounding the attack.

A UK-based asset management company was seeking to enhance security visibility across its hybrid infrastructure and free up its in-house team to focus on remediating rather than detecting threats. The company was looking to gain more complete security visibility and obtain additional resources to supplement its in-house team and enable it to focus on critical security investigations. The company recognized the significant damage a data breach could pose to its reputation and its client relationships and wanted to minimize the potential risks. Mindful of its compliance responsibilities, the company also wanted to ensure that it was meeting the requirements of the Financial Conduct Authority and other regulatory bodies. The company had no dedicated security team and was struggling to gain a full picture of security events across its environments. The company had previously trialled a number of Security Information and Event Management (SIEM) and Endpoint Detection & Response (EDR) platforms from different providers, but couldn’t achieve the outcomes it needed from them.

The CEO and board of directors of an international trading organisation were concerned about the potential damage a cyber-attack could inflict on their operations and reputation. Despite significant investments in cyber security, they lacked visibility into the effectiveness of these defences and how their organisation would respond to a real-world attack. The Financial Conduct Authority (FCA) legislation holds senior managers personally accountable for ensuring that IT security regulatory requirements are met. Therefore, the CEO and board decided to engage Redscan’s Red Team to test the effectiveness of the company’s cyber security controls and its ability to detect and respond to malicious behaviour.

The national homebuilder, with a large and mobile IT estate, was a potential target for cybercriminals due to its dispersed workforce and heavy reliance on cloud services. The company was not consistently capturing, analyzing, and correlating security logs, leaving it vulnerable to attacks without any visibility. There were also concerns about the company's compliance with GDPR and PCI DSS requirements. The company needed a security capability that would enable it to monitor and protect important data and assets round the clock. However, with a small team, the company lacked the resources to build this capability in-house and needed a security partner to provide support and expertise.

A teaching hospital, despite having a diligent IT team that tracked security updates and promptly patched critical issues using industry-leading tools, found itself in a precarious situation. The team was confident that they had patched a critical vulnerability, known as ZeroLogon, months earlier. They even had reports from Qualys and Microsoft DISM, both industry-leading tools, to back up their claim. However, when NodeZero exploited this supposedly patched vulnerability in under a day on several of their Active Directory domain controllers, the IT team insisted it was a false positive. NodeZero, on the other hand, had evidence of a detailed attack chain showing each step taken to get credentials, escalate privileges, and gain administrative rights to Active Directory. This discrepancy led to the hospital reapplying the patch and repeating the NodeZero autonomous pen test.

The case study revolves around a leading private hospital in London, UK, founded in 1982, that was grappling with the challenge of safeguarding large volumes of sensitive and private patient data. The hospital, like all healthcare institutions, had to manage and maintain a wide range of specialist systems, including life-saving medical equipment. Ensuring these systems were always operational and that patient data could be accessed and shared across the network instantaneously was crucial. At the same time, the hospital had a strict duty to prevent this sensitive information from falling into the wrong hands. The hospital also had to comply with the requirements of the GDPR, NIS Directive, and Care Quality Commission (CQC), which mandate that personal data is suitably protected and breaches are promptly detected, responded to, and reported. Despite having firewalls and antivirus software, the hospital sought to improve visibility of events inside its network to detect advanced threats capable of evading these controls. The hospital's IT department, a team of six, lacked the resources to manage the technologies required for 24/7 security monitoring.

Plymouth Rock Assurance, a leading US insurance firm, has been serving the insurance needs of its American clients for nearly 40 years. Specializing in auto and homeowner’s insurance, the Plymouth Rock group of companies has sustained steady growth and now write and manage more than $1.5 billion in premiums across the Northeast. As a fast-growing company in a tightly regulated industry tasked with managing large troves of customer data, Plymouth Rock places a special emphasis on strong cybersecurity. However, as the company grew, it faced increasing security threats and needed more sophistication and support with identifying threats and prioritizing risk. Despite having a committed team working hard to ensure the company’s critical assets remain secure and utilizing tools from vendors to identify and mitigate threats, the company needed additional support to identify exposures from misconfigurations, vulnerabilities, and human error.

The specialist asset manager, despite having several state-of-the-art security systems and hardware solutions, was struggling to maintain its cybersecurity vigilance. The firm was receiving numerous alerts from its antivirus and perimeter security products, but it was challenging for the IT team to determine the importance of these alerts. The company was aware of the need for a team of cybersecurity experts who could monitor their systems 24/7 and respond appropriately to the alerts. However, setting up such a specialist operation in-house was not a viable option due to the high costs involved. The firm was in need of a solution that could help them filter and understand the information being fed by their security systems, detect malicious activity, and act quickly to protect the business.

Kettering Health, a healthcare network supporting 13 medical centers, over 120 outpatient locations, and more than 30,000 users, was in the process of implementing layered defenses and aligning with NIST security controls when an aggressive rollout of the EPIC Electronic Health Records system fully consumed all IT resources. This resulted in a stall in cyber hygiene activities, leading to configuration drift. The situation was further exacerbated by the COVID-19 pandemic, which forced the IT staff to pivot from routine maintenance to address new security challenges presented by a mobile and remote workforce of first responders. The complexity of the situation, coupled with scarce resources, made it difficult to reestablish cyber hygiene. Limited visibility into the status of security tools, time-consuming manual analysis, and an overwhelmed IT network team further complicated the situation.

Andbank Group, a banking and financial services company with over 90 years of experience in private banking and comprehensive wealth management, was seeking to improve its performance. The bank aimed to integrate its financial planning, analysis, and sales processes while maintaining the unique logic and business rules of each business function. The challenge was to find a solution that could address all financial planning and analysis (FP&A) and sales planning needs across the entire commercial structure, from the CEO to each banker. The bank needed a tool that could transform its management control department from a cost center to a business generation center and empower the organization to manage the profitability of its products and customers with greater agility.

Forico, an integrated timber plantation, forest management, and timber export business based in Tasmania, was grappling with the challenge of managing a large-scale forestry operation. The company oversees more than 170,000 hectares of forest in the island state, a task that necessitates the consolidation of vast amounts of data. The existing data management and reporting methods, primarily spreadsheets and other platforms, were proving inadequate for the high volume of information. The company was in dire need of a more streamlined data management and reporting method that could handle the large data volumes, reduce manual errors, and quickly identify data discrepancies.

Pixartprinting, a major European player in online printing services, was facing challenges in automating its planning processes. The company was using Excel for strategic planning, budgeting, and forecasting processes, but this approach was proving inadequate for the new competitive market challenges. The company was also undergoing a simultaneous change in the ERP system in some of its branches, making it the right time to replace the spreadsheet-based approach with a more advanced solution. The main challenge was the lack of collaboration across departments due to a data-silos approach and information redundancy. This resulted in difficulties in driving planning, forecasting, and business modeling processes. Pixartprinting needed a tool that could provide a comprehensive view of the company’s information, ensure fast responses when querying databases, make scenario simulation easier and more intuitive, and automate relevant planning and analytics processes.

Piazza Italia, a leading Italian multi-channel fashion retail enterprise, was facing challenges in its HR department. The company wanted to transform its approach from merely performing tasks to setting challenging objectives and a strategic vision capable of adapting to sudden market changes. The company was operating in a volatile market that often required swift changes to short-term strategies. The traditional KPIs used by the company were mostly focused on internal processes with little orientation towards business results and growth. The completion of goals was defined by accomplishing a set of actions or tasks within a time frame, which did not offer substantial strategic value. From a commercial perspective, Piazza Italia needed to control two large cost items: the cost of sales and the cost of labor. Traditional budgeting tools integrated with payroll and attendance tracking software were found to be inadequate for the company's needs.

RDM Group, a leading producer in the recycled cartonboard business, embarked on a complex journey to embed digital intelligence across the entire organization. The Group aimed to incorporate AI, no-touch transactions, augmented reality, and Bot technology into its operations. However, the Group faced challenges with its existing processes. These processes were not integrated, data and insights were stored in silos and only sent electronically on request, and information analysis was manual and ad hoc. The Group needed a solution that would integrate and automate processes, provide real-time visibility of data, introduce descriptive, diagnostic, and predictive analytics practices, and enable data sharing across different departments, professional functions, plants, and headquarters.

Tyler Technologies, a leading provider of end-to-end information management solutions and services for local governments, faced significant challenges following a period of substantial growth. The company had acquired numerous software solutions companies, increasing its revenue threefold. This growth, however, presented a series of challenges, particularly for the finance team. The team was struggling to keep up with the increased business demands, obtain necessary data for efficient analysis and reporting, incorporate acquisitions into their systems, and maintain consistent reporting. The company's structure, built through a series of acquisitions, meant that each division had its own Financial Planning and Analysis (FP&A) team performing planning and forecasting. The data was then sent to the Corporate FP&A team for consolidation, a process that was manual, static, and prone to errors. The lack of a central repository for plans and forecasts further complicated the process. The company needed a new system that would be reliable, speed up consolidation time, standardize all planning and forecasting activities, and have user-friendly drill-down capabilities.

Cuboh, a restaurant-tech company, integrates delivery apps with point-of-sales systems and consolidates them into a single tablet. Despite processing over $1B in transactional volume, the company faced a significant challenge. They hadn't built their data structure to handle scale, leading to inefficiencies in querying their database for millions of rows. This resulted in latency in large customer reporting requests. The team sought to create an appropriate underlying dataset to streamline their ledger-based reporting. They initially opted for a Kafka-based streaming platform, but soon realized they needed a more robust solution to handle their large datasets. The ideal solution needed to be compatible with an underlying relational database, produce low latency requests, handle RESTful API requests, provide near-real-time reporting, be self-managed, and offer caching for date-based query structures.

Cloud Academy, a San Francisco-based SaaS startup, was in search of a modern analytics platform to enhance its existing enterprise analytics offering. The company needed a solution that could deliver a seamless, highly available embedded analytics experience based on CI/CD best practices, while also allowing for planned outages for necessary infrastructure maintenance. They also needed to leverage their existing data warehouse and maintain high flexibility in their data modeling to serve both internal and external end users. Prior to Cube, Cloud Academy used a major BI platform for their enterprise embedded analytics UI, and internal stakeholders used the BI platform directly. However, they needed a solution that would allow for greater flexibility in data modeling, security context orchestration, and caching.

Jobber, a leading provider of business management software, supports over 50 industries and has serviced over 15 million households in more than 47 countries. A crucial tool for Jobber's customers is dashboards that provide a snapshot of their businesses, helping them schedule their day, optimize routing, keep track of invoices, accept payments, and more. However, as Jobber's business scaled and accumulated close to a decade of data, the dashboard performance began to slow down. The team tried to address these performance issues through caching, query optimization, and database tuning, but they realized that more needed to be done. The challenge was to find a solution that could handle the large amount of data and still deliver high-performance dashboards.

RamSoft, a leading SaaS HealthTech company, was in search of a modern analytics platform to enhance its new analytics offering, Root. The company had been using a major business intelligence tool, but it lacked the customization capabilities required to provide a truly native end-user experience. The tool offered limited customization options, particularly in terms of user experience workflows and report generation. Additionally, RamSoft needed a solution that would allow them to control the features available to the end user. They found that many existing solutions in the market were packed with numerous irrelevant features, which often overwhelmed new users. The team required a solution that would allow them to remove unnecessary features and control user access to various functionalities. Given the complexity of their domain, they also needed a platform that could streamline the analytics behind the tool, allowing them to focus on the UX/UI and front-end.

The Younique Foundation, a non-profit organization dedicated to helping women recover from sexual abuse, was facing challenges in managing and analyzing their data. They relied heavily on complex spreadsheets, which made it difficult to respond quickly to what their data showed. The organization wanted to understand the pre- and post-retreat experiences of their participants, but lacked an efficient way to evaluate the metrics. Additionally, they were experimenting with various funding sources, including sales of swag items, but found it challenging to measure the impact of these revenue streams. They also needed to accurately track their funding on a daily basis to maintain their non-profit status with the Federal Government, which requires them to raise 33% of their funding through outside sources.

ShopBack, a leading shopping rewards and discovery platform in Asia-Pacific, faced a significant challenge in analyzing transactions on its sites. The company needed to assess various transactional aspects, including purchase value and sales volume. In January 2020, ShopBack embarked on a new project that required extensive dashboard reporting of aggregated data for both internal and external users. One of the options considered was building an in-house application and storing the data in a graph database. However, the data was highly relational and needed to be pre-aggregated into OLAP cubes for analytics. The company also faced performance issues, with p95 query loading times taking as long as 50 seconds, leading to a poor user experience.

Flight Data Services (FDS), a leading provider of flight data monitoring services, was faced with the challenge of translating raw black box flight data into operational business intelligence. This process is crucial for an aircraft operator’s safety program as it allows for the identification of trends and thorough investigation of minor incidents. These insights enable safety managers to improve operational procedures and training, raise awareness of safety issues within the operation, and assist management in making informed business decisions. FDS needed a solution that would allow them to provide their customers with a secure report portal from which they could instantly and interactively generate their own reports and drill down into data.

Click Seguridad Jurídica, a Mexican Multiple Purpose Finance Company (SOFOM) specializing in fiduciary activities, was grappling with the increasing complexity of implementing and constituting financial products. The activity was becoming more restricted and subject to a vast number of legal operations. The company needed a solution that would allow for flexible and agile business process integration, capable of adapting to changes in demand and potential legal modifications that could impact its commercialization process. The CEO, Adolfo González Olhovich, began searching for a no-code tool that could meet these requirements and streamline over 20 processes including quotation, authorization, blacklist review, and integration and service contracts.

The Solidarity and Social Investment Fund (FOSIS), a service of the Chilean Government, was faced with the challenge of standardizing its administrative processes to comply with the new regulatory framework established by the Law of Digital Transformation of the State (LTDE). The LTDE focuses on updating administrative procedures and document management in public administration through digital transformation. It also mandates that all communication related to administrative procedures between different public bodies must be carried out electronically. FOSIS had been using the AuraQuantic platform for over 14 years to automate different internal processes. However, with the introduction of the new LTDE framework, the institution needed to launch an ambitious project to align with the new regulations.