OptimizeFT, a California-based digital banking software company, was facing challenges with its in-built system for orchestrating communication with third-party vendors like Airship and Twilio. The integration of this system was tied to the development schedule of their core platform, which meant that any changes required waiting for standard platform deployments. This process was proving to be cumbersome and inefficient. OptimizeFT's business goals included providing a cost-effective solution to both large and small organizations without compromising on critical features, analyzing, monitoring, and optimizing user preferences, sending real-time updates for an enhanced user experience, and minimizing the operational hassle involved in integration and customer interactions.

Airtel Xstream, a video streaming platform, was faced with the challenge of increasing user engagement and retention on their mobile platforms. The platform, which offers 350+ Live TV Channels, 10000+ Movies, 100+ TV Shows, Originals, and more, was looking to revolutionize the mobile entertainment streaming landscape. However, the COVID-19 pandemic had significantly reshaped user content consumption patterns. The Growth and Content teams at Airtel Xstream were tasked with growing engagement on the Android and iOS mobile apps while retaining newly acquired users. Their primary focus was to increase content consumption, measured by 'Streamtime' and 'Streamtime-per-subscriber' metrics. Additionally, they aimed to improve the N-day Retention metric, which tracks the number of users who have opened the Xstream mobile app and consumed video content at least once within a period of time.

Mashreq Neo, a digital banking app launched by Mashreq, one of UAE’s best performing banks, faced a significant challenge in integrating their mobile app into the larger omnichannel customer experience. The app was initially perceived as just another touchpoint to engage with customers, leading to a siloed approach where customer data across channels and services was stored separately and not flowing into a centralized platform. This resulted in high drop-off rates at the onboarding stage and low adoption rates on key features such as debit card spends, quick remit for salary and international transfers, and the bank's loyalty program, Salaam Points. The goals were to increase customer onboarding by offering unified communication to ease app adoption, boost debit card adoption and spends by driving day-to-day app transactions, and improve loyalty program consumption by driving debit card and quick remit usage.

Future Pay, a wallet app by Future Group, faced a challenge in tracking user interactions with promotional banners on their home screen. These banners, which redirected users to selected brand pages, were a key part of their marketing strategy. However, the Future Pay product team was unable to track clicks on these banners or measure conversions from users who landed on these brand pages. This lack of visibility made it difficult to assess the effectiveness of their marketing efforts and optimize their engagement strategy. The team wanted to understand user behavior and drop-off on these banners, hoping that this would help them offer more personalized engagement and boost traffic and conversions. The criteria for a solution were to help the team understand user behavior and drop-off on these banners.

Vedantu, a Bengaluru-based tutoring platform, was facing a significant challenge in retaining and engaging its student base. Despite having around 2.3 million registered students across their website and app, the company was struggling to keep students engaged and complete their tutorials. Approximately 90% of students either added tutorials to their cart but didn’t complete the transaction, signed up for the tutorials but did not start or complete them, or completed tutorials but dropped off due to no follow-up engagement. The main roadblock was a gap in data enrichment due to missing data on user behavior and app activity, and missing data on source medium and funnel of existing campaigns.

Namely, a cloud-first, all-in-one HR platform, was experiencing rapid growth, which necessitated the prioritization of its web defense. As the customer base of Namely expanded, so did its responsibility of managing web defenses, including detection, prevention, and response. In a fast-paced agile development environment, security leader Daniel Leslie was tasked with building security and IT from scratch. He was seeking innovative ways to manage website defenses, having had experience with legacy Web Application Firewalls (WAFs). His core criteria for a solution included technical alignment, ease of use, best-in-class security functionality, and total cost of ownership.

Prezi, a cloud-based presentation platform with over 100 million users, was facing a significant challenge due to its rapid growth. The company was seeking to replace an existing, labor-intensive tool with a new web application firewall (WAF) to provide automated, accurate protection for their web applications. Prior to this, Prezi used an open source IDS/IPS solution. As a cloud-based platform, Prezi’s primary goal was to have a WAF with enterprise-grade detection and reaction capabilities. They needed a solution that could automatically and reliably detect attack patterns on web traffic without the noise (hundreds of notifications to matches on RegEX signatures) and provide integrations to gain advanced insights.

Sauce Labs, a leading provider of continuous testing cloud for web and mobile applications, was facing a significant challenge in protecting its web applications distributed across a hybrid cloud environment with different application stacks. The company, which has been named to the Deloitte Technology Fast 500 list for four consecutive years, helps businesses ensure their mobile applications and websites work flawlessly on every device, operating system, and browser. However, the company was grappling with potential attack vectors including click fraud and abuse of its free trial virtual machine offering. The Senior Director of Product Security, John Kennedy, was keen on finding a solution that would provide a robust defense against these threats.

Datadog, a monitoring and security platform service for cloud applications, faced a significant challenge as it continued to grow. The company's homegrown application security tools were not scalable enough to support its rapidly expanding customer base. The organization needed to adopt a Web Application Firewall (WAF), but it had specific requirements. The WAF needed to provide flexibility in modern cloud architectures, support rapid code changes and deployments in a CI/CD pipeline without extensive tuning, and not consume unnecessary resources across security, SRE, and development teams. The challenge was finding a solution that could meet these requirements while keeping up with the pace of Datadog's growth.

Glossier, a rapidly growing beauty ecommerce brand, was faced with the challenge of protecting their website and the increasing volume of user data from application attacks and account takeovers. As an ecommerce site, Glossier needed to have a clear understanding of site traffic patterns, including any attacks and anomalies that were occurring. However, without a dedicated security team, the company was struggling to provide the necessary tools to their team that would help them understand and respond to these security issues in real time.

Winning Group, a growing appliance retailer based in Australia, was facing a significant challenge in scaling their security and visibility to match the growth of their e-commerce sales. The company operates several web properties and was planning for future expansion and growth, including M&A activity. This prompted the need to strengthen their overall security posture at the application layer to protect customer-facing web applications, payment gateways, customer portals, and APIs. Prior to implementing Signal Sciences, Winning Group used various methods to secure their web applications, including maximizing best practices for their CDN, firewall, and coding methods. However, they faced issues with real-time visibility, increased man-hours due to lack of automation, and unsatisfactory customer experience and services from their CDN provider.

Betterment, an online financial advisor with over $14 billion in assets under management and a user base of over 380,000 customers, needed a solution to protect customer PII and financial assets. The company spins up numerous web servers daily through its continuous integration and deployment (CI/CD) pipeline, making it crucial to know if, when, and how their user accounts might be under attack. The biggest concern for Betterment’s Engineering and Security teams was the signal-to-noise ratio. They needed a Web Application Firewall (WAF) that could automatically scale and accurately block attacks without increasing support call volume or creating more work for the teams. The solution also needed to be able to block attacks without requiring ongoing signature tuning or impacting performance.

Duo, a leading authentication platform, was in search of a solution that could provide application security visibility for its platform and websites without introducing additional security or operational risks. The company's platform supports billions of authentication requests globally every week, and it was crucial for Duo's security team to monitor and secure this traffic without negatively impacting the user experience or introducing additional security risks. Their previous experiences with hardware and cloud Web Application Firewalls (WAFs) had resulted in single points of failure and difficulties in managing traffic, prompting the need for an alternative approach.

OFX, an international financial transfer platform based in Sydney, Australia, processes over $22 billion annually through its web application. Having recently migrated to the cloud, OFX sought to increase visibility and protection against Open Web Application Security Project (OWASP) attacks and authentication abuse in its cloud-first microservices infrastructure. Partners interact with the OFX platform via APIs that communicate with microservices within the OFX network. The Head of Digital Security, Richard Lane, was tasked with building the security program and team. He aimed to ensure that their microservices weren’t implicitly trusting others and sought a product that would provide visibility. He wanted a solution that would be easy to install, use, and effectively block malicious traffic automatically, including logins, without causing production incidents.

Shinola, a company dedicated to producing high-quality, American-built products, operates an e-commerce website with high-volume traffic periods during peak sales seasons. They wanted to increase security awareness of attacks and anomalies at the application layer. The company needed a web application security technology that would increase visibility without disrupting the rapid deployment models required to stay ahead in the fast-paced retail market. They required improvement in their security posture while democratizing the shared responsibility of security across the enterprise. Shinola’s DevOps team desired proactive distribution of security data to enhance their overall security operation. They needed a web application security technology that could cut down on inefficiencies while ensuring security across all of their applications.

BloomNation, an online retailer delivering fresh flowers from local florists across 5,000 cities and towns in the United States, was facing a significant challenge in late 2019. The company's national profile had been boosted after being listed on Built In LA’s 50 Best Small Places to Work list, which unfortunately attracted malicious actors to their website on a larger scale. BloomNation was experiencing a flood of abusive attack traffic, including DDOS, SQLi, XSS, and credential stuffing, from malicious actors attempting to scan their web applications. This situation had a significant impact on the organization, with engineers spending time away from building and deploying product features to manually research and block IP addresses to keep the website up. The influx of traffic also negatively impacted the customer experience, with page load times slowing and the site breaking as attack requests increasingly hit their server instances.

Vimeo, the world’s leading professional video platform, faced a significant challenge in maintaining the security of its rapidly expanding user base, which includes over 150 million users globally. The company's rapid growth and recent acquisitions necessitated a robust application security program to prevent prevalent attacks like XSS, SQLi, API abuse, and account takeover. Additionally, Vimeo needed a solution that would seamlessly integrate with their newly built AWS infrastructure without requiring extensive tooling and upkeep. The company also sought to consolidate all requirements under a single vendor for ease of use across multiple teams. A lack of visibility into production traffic and new merger and acquisition activity further highlighted the need for attack detection modernization.

Investing.com, a global financial portal and internet brand, was grappling with a significant challenge. The company, which provides news, analysis, streaming quotes, charts, technical data, and financial tools about the global financial markets, was facing a massive onslaught of data scraping bots. These malicious actors were deploying bots and scrapers to harvest the data that Investing.com pays financial exchanges to publish. The company was dealing with 30-40 million content scraper requests per week that they needed to stop. As an advertising-supported business, the theft of this data was not only a breach of security but also a significant financial drain.

Remitly, the largest independent digital remittance company in the United States, was faced with the challenge of protecting its proprietary global transfer network. The company needed a technology that could satisfy PCI requirements and protect customers’ sensitive transactions through its mobile application. Remitly deals with irregular traffic patterns, which posed a significant challenge. For instance, they once observed a spike in account transfers all happening from a small network segment on the Pacific coastline of South America. The company had to determine if this traffic indicated an attack or valid requests, and do so in real time. Allowing the traffic carried the risk that the transactions were malicious, requiring Remitly to reimburse the cost of the fraudulent transfers. A traditional web application firewall (WAF) would have no way of distinguishing this traffic, leaving customers frustrated if they chose to blacklist the IP.

Maritz, a holding company providing a range of services to Fortune 500 companies, faced a significant challenge in enhancing its security posture to support PCI DSS requirement 6.6. Several of its business units accept credit card information, necessitating annual reporting on PCI DSS compliance. The company decided to implement a web application firewall as an additional layer of security for its PCI environment. However, with numerous business units, applications, and diverse technology stacks, Maritz needed a single product that could be deployed across all current and future hosting environments, whether physical or virtual, on-premises or cloud. The company was also seeking a solution that was easy to use, with automated blocking and simple deployment, to replace their previous open-source solution that required extensive manual effort to operate.

Chef, a leading engineering group, was in need of a security solution that could keep pace with their rapidly evolving DevOps practices and business requirements. The company's engineering and operations teams were seeking a way to enhance visibility into the shifting vulnerabilities and attack vectors across their applications. The challenge was to find a security solution that would enable them to identify and address security issues in the same manner they were already handling operational issues, without causing any negative impact on performance.

Monograph, a San Francisco-based productivity software company, was facing a significant challenge in expanding its team. Despite having a large pool of potential employees, the company was struggling to find candidates that fit their unique culture. The company, which creates intuitive tools to automate practice operations for architecture, landscape, and design firms, was particularly interested in finding highly skilled and diverse engineering talent. The challenge was further exacerbated by the ongoing pandemic, which made it difficult for Monograph to independently increase the volume of appropriate candidates.

UiPath, a leading Robotic Process Automation (RPA) vendor, was facing challenges in managing its recruiting processes due to its rapid scaling. The company was receiving over 1,000 inbound applications daily and needed a solution that could handle this volume without compromising the personal touch for each candidate. Additionally, UiPath was in the process of migrating to a new applicant tracking system (ATS), a move that posed a potential risk to the candidate experience. The company needed a solution that could serve as a central database for all candidates and ensure a smooth transition between ATS providers without disrupting candidate communications and nurture campaigns.

A Fortune 500 company in the highly competitive consumer packaged goods (CPG) industry was facing a significant challenge in its talent acquisition process. The company, a multinational leader with over 20,000 employees and multiple locations, was struggling to meet its corporate goal of increasing the diversity of its workforce. Despite being satisfied with the quality of talent it was hiring, the company wanted to improve its overall efficiency in attracting top talent. The talent acquisition team was under pressure to not only increase the quality of applicants but also the diversity of its applicants. However, the company had no solution in place to attain these goals, which were a high priority as per its corporate policy.

Nutanix, a leading enterprise cloud platform provider, was facing a significant challenge in its university recruiting strategy. As the company expanded, it needed to attract more talent from a wider range of schools each year, while also competing with well-known consumer brands for top candidates. However, their existing methods were not yielding the desired results. The university recruiting team was relying on spreadsheets to manage and organize candidates, which was proving to be inefficient. They needed more effective ways to engage with candidates and keep them interested. The challenge was to find a solution that could streamline their recruiting process, improve engagement with candidates, and support the company's focus on diversity and inclusion.

AirAsia, a rapidly growing airline, faced significant challenges in its recruitment process. The company's rapid expansion led to a surge in new hires across various aspects of flight operations, corporate functions, and technology-related roles. In 2019 alone, AirAsia added more than 6,000 employees. The company was struggling with the task of screening a large number of resumes, assessing candidates' qualifications, and matching them to open positions. The process was time-consuming and imposed a heavy burden on the recruitment teams. Additionally, the company was dealing with the complexity of hiring personnel in different countries and for a broad range of positions, which varied in application methods and volume of applications received.

NextRoll, a pioneer in applying technology to marketing, was facing challenges in talent acquisition and diversity and inclusion goals due to the competitive hiring market. The company's legacy tool for tracking diversity in hiring was often inaccurate, making it difficult to measure progress towards their diversity and inclusion objectives. The company, which competes with other high-tech companies in the San Francisco Bay Area for talent, needed a more effective way to fill open positions and meet published goals for diversity and inclusion. Their existing Greenhouse applicant tracking system (ATS) had more than 100,000 resumes, but they needed a more efficient way to identify candidates in underrepresented categories and track their progress through the hiring process.

Norway is grappling with the challenge of reducing the cost of its welfare system, which annually incurs billions of kroner in benefits for over 100,000 citizens. The country is also striving to improve the efficiency of reintegrating people into the workforce. Many job seekers, especially those who have been unemployed for a long time, struggle to align their skills with the evolving demands of a dynamic job market. These individuals often find it difficult to bridge the gap between their skills and the needs of a modern workplace. Traditional resume processing methods are slow and ineffective at matching these individuals to suitable jobs, which discourages unemployed individuals from seeking new employment.

Hiring bias is a prevalent issue in many organizations, occurring when employment decisions are influenced by personal characteristics rather than job performance capabilities. This bias can be based on a variety of factors including age, gender, ethnicity, or education. Even well-intentioned decisions can perpetuate bias. For instance, a manager might prefer to recruit from their alma mater, inadvertently perpetuating the university's admission biases and discriminating against individuals with different educational backgrounds. Some biases may be unconscious, such as a manager favoring male candidates without realizing their preference. This situation presents a significant challenge for companies aiming to foster diversity and inclusion in their workforce.

Automation Anywhere, a global leader in Robotic Process Automation (RPA), faced significant challenges in its talent acquisition process. The company was experiencing a hiring boom due to the rapid growth of the RPA sector. However, the existing hiring process was inefficient and unable to keep up with the demand. The company needed to hire more people and do it faster. Additionally, they wanted to increase the diversity of their hires and improve the efficiency of their talent acquisition team. A significant challenge was the inability to effectively utilize their Applicant Tracking System (ATS) which contained about 200,000 records of past applicants. The company lacked an effective way to search these past applicants for potential matches for new roles. Furthermore, the records were not updated after each application was submitted, leading to outdated information.