Datavant

Datacom is Australasia's largest home-grown technology company, delivering comprehensive IT solutions and services that help organizations across New Zealand, Australia, and the wider region innovate and grow. With over 6,500 employees operating in 24 locations globally, Datacom brings together deep technical expertise and strong customer relationships to solve complex business challenges. The company's capabilities span cloud services, infrastructure management, cybersecurity, data centre operations, and enterprise consulting, serving government agencies, major enterprises, and growing businesses alike. Founded in 1965 as Computer Bureau Ltd in Christchurch, Datacom has evolved through six decades of technological change to become a trusted technology partner for organizations undergoing digital transformation. The company maintains a strong commitment to developing local technology talent and supporting the communities where it operates. Datacom's Cybersecurity Defence Operations Centres provide managed security services, while its partnerships with leading technology vendors like Microsoft, Cisco, CrowdStrike, and Zscaler ensure customers receive world-class solutions tailored to their specific needs.

We are a trusted global innovator of IT and business services, delivering practical and scalable technology solutions that help clients navigate their digital journey. Part of the NTT Group and headquartered in Tokyo, we serve approximately 75% of the Fortune Global 100, combining deep industry expertise with cutting-edge capabilities in consulting, applications, managed services, and digital transformation. Our team of more than 190,000 professionals operates across over 70 countries, united by a commitment to creating technology for good. At NTT DATA, we believe in respecting every voice, thinking big and being bold, delivering the outcomes we promise, and winning together as one global team. We invest heavily in innovation - backed by $3 billion in annual R&D from NTT Group - and we're on track to become a Global Top 5 IT services provider. From regenerating rainforests with AI to helping organizations harness the power of cloud, cybersecurity, and generative AI, we work every day to shape a better, more sustainable future for our clients, employees, and society.

In an increasingly volatile world where crises unfold in real-time across physical, digital, and cyber domains, organizations face a critical gap: the time between when an event occurs and when they can respond. Dataminr exists to close this gap completely, delivering the earliest actionable intelligence on breaking events, emerging threats, and unexpected risks. The company's AI platform processes more than one million unique public data sources, synthesizing terabytes of data spanning text, images, video, audio, and sensor signals across 150+ languages and 220+ countries and territories. Dataminr's pioneering ReGenAI technology combines Predictive AI and Generative AI to automatically regenerate real-time briefs as events unfold, while its new Intel Agents autonomously generate critical context without prompts. Trusted by more than 100 U.S. government agencies, 20+ international governments, two-thirds of the Fortune 50, and half of the Fortune 100, Dataminr protects people, assets, and operations. From the battlefield to the boardroom, the company enables faster, more informed decisions when seconds matter most, transforming how organizations respond to fast-emerging risks.

Founded nearly two decades ago, Data Edge emerged from a fundamental insight: businesses were struggling to manage increasingly complex database systems while trying to focus on growth and innovation. The founders recognized that database administration was becoming a specialized discipline requiring deep expertise - one that was distracting internal teams from core business initiatives. So they built Data Edge to become the trusted partner that would handle data operations, allowing companies to redirect their energy toward what truly matters. Today, Data Edge stands as Eastern Europe's premier database management and optimization firm, with 17 years of experience, over 100 databases under management, and operations spanning nine countries. The company has evolved from a boutique database consultancy into a comprehensive data services provider, offering everything from cloud analytics modernization to data science acceleration and full customer experience service. Their Database as a Service (DBaaS) solutions deliver unprecedented velocity and impeccable reliability, powering decision-making in real-time while maintaining unwavering stability. With strategic partnerships including Oracle Cloud, AWS, Azure, and recognition through five industry awards, Data Edge continues to redefine database dynamics for businesses worldwide.

Databricks operates a unified Data Intelligence Platform that processes and analyzes data for over 15,000 organizations globally, including more than 60% of the Fortune 500. The platform combines data engineering, ETL pipelines, ML model training, and generative AI infrastructure - running on AWS, Azure, and GCP. Founded in 2013 by the engineers who created Apache Spark at UC Berkeley, the company built its architecture around lakehouse design, which merges data warehouse and data lake capabilities into a single system that handles both structured analytics and unstructured ML workloads. The security surface spans distributed data processing at enterprise scale, multi-cloud deployments, and data governance across heterogeneous environments. Unity Catalog provides centralized access control and audit logging for lakehouse assets, while the platform must secure data pipelines that move between cloud storage, compute clusters, and external integrations. Databricks maintains three major open-source projects - Delta Lake for transactional storage, MLflow for ML lifecycle management, and Unity Catalog for governance - each introducing distinct attack vectors and compliance requirements that security teams need to monitor across production deployments. The threat model includes data exfiltration risks during ETL operations, privilege escalation in shared compute environments, and supply chain vulnerabilities in open-source dependencies. Teams work with Python, Scala, and Java codebases, securing Spark clusters that process sensitive data alongside ML models that require both training data protection and inference endpoint hardening. Security engineering at this scale means defending distributed systems where data moves constantly between storage layers, compute resources, and API endpoints across multiple cloud providers.

In 2015, Benjamin Fabre and Fabien Grenier, two serial entrepreneurs with deep expertise in scalable web infrastructure, AI-powered data stream processing, and cybersecurity, noticed something troubling on the horizon: the rapid rise of sophisticated bot attacks and online fraud. They understood that traditional security tools were failing because attackers don't think in silos - their tactics don't stop at login pages or respect traditional boundaries between cybersecurity and fraud prevention. So they built DataDome - an AI-native platform from day one that fuses cybersecurity with fraud prevention into a unified solution. From writing the first lines of code to designing a distributed, adaptive architecture, they prioritized performance, resilience, and the ability to evolve with emerging threats. Today, DataDome processes trillions of signals daily, protecting some of the world's most prestigious online businesses with near-perfect accuracy and sub-millisecond response times, truly freeing the web from fraudulent traffic.