Dataminr, Inc.

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.

At Infojini Inc, we believe that successful technology solutions come from understanding both the technical requirements and the people who use them. Our teams thrive in a collaborative environment where expertise is shared freely and every member contributes to our mission of delivering innovative IT services and solutions. We work across diverse domains - from Fortune 500 enterprises to government agencies - bringing a wealth of experience in software development, IT consulting, and staffing services that empowers our clients to achieve their digital transformation goals. Our culture is built on continuous learning and adaptability, essential traits in our fast-paced industry. With over 19 years of experience, we have cultivated deep partnerships with major technology vendors and developed expertise across healthcare IT, infrastructure, database management, and application development. Whether we are designing user experiences for web applications, implementing complex database solutions, or providing critical cybersecurity services, our teams operate with integrity and a commitment to excellence that has earned us recognition as one of the fastest-growing IT services companies in the industry.

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.

We're a team of about 4,000 people building software that helps organizations deliver better customer experiences without the chaos of adding more staff. Most of us work across the globe, serving roughly 10,000 customers in more than 175 countries, and over 80% of the Fortune 100 rely on our platform. We know firsthand how painful contact center operations can be, and we're determined to solve it properly with AI-powered automation that actually works. Our open platform puts behavioral data and Verint Da Vinci AI at the core, letting organizations connect seamlessly with their existing systems instead of forcing them to rip and replace everything. We've built more than 50 specialized bots that handle everything from customer self-service to agent coaching, helping companies increase capacity, lower costs, and see measurable ROI in weeks, not months. We're proud to generate over $900 million in revenue while staying focused on what matters: creating tangible AI outcomes for the world's most iconic brands.

Datavant operates the largest health data network in the United States, connecting more than 80,000 hospitals and clinics, 100% of US payers, and 350+ real-world data organizations globally. Founded in 2017, the platform enables privacy-preserving data linkage across healthcare organizations - letting hospitals, pharma companies, researchers, and payers share clinical information without exposing patient identities. Following a 2021 merger with Ciox Health, the company added record retrieval, data transformation, and AI-powered analytics to its core linking technology, building out full health data logistics capabilities. The threat model is non-trivial: healthcare data flows across fragmented systems with inconsistent security postures, creating exposure points at every handoff. Datavant's infrastructure handles de-identification, tokenization, and controlled linkage at scale, running on AWS with Kubernetes orchestration. The stack includes Snowflake for warehousing, Kafka and Kinesis for streaming pipelines, and Spark/Databricks for transformation workloads. Monitoring runs through DataDog, Grafana, and CloudWatch. Backend services are built in Python, Go, and Java; frontend tooling uses React and Next.js with GraphQL APIs. Security engineering here means designing cryptographic protocols for data minimization, building access controls that span hundreds of institutional boundaries, and maintaining audit trails across a network processing sensitive health records at enterprise scale. The operational surface includes microservices handling real-time data ingestion, batch ETL pipelines built with Airflow and Glue, and customer-facing analytics tools feeding Power BI, Tableau, and Looker dashboards. This is infrastructure-level work where misconfiguration or weak isolation directly impacts patient privacy across the entire US healthcare system.

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.