Data Security, Architecture & Governance

DevOps/DevSecOps, Multi/Hybrid Cloud Architecture, Network Security, Cybersecurity

Secure Data Architecture & Governance

In establishing secure data architecture and governance, two key considerations are ensuring compliance with data privacy laws and implementing robust data access controls. Additionally, it’s crucial to encrypt data, manage its lifecycle effectively, and conduct regular audits and monitoring to detect and prevent security breaches.

Multi/Hybrid Cloud Architecture

Cloud optimization and architecture at scale for speed and cost control. Use native cloud services in your application the right way Containerize your application in Kubernetes Convert your application to microservices Take full advantage of cloud services Application security review Lower infrastructure costs

The Global Team has certifications and experience in AWS, Azure, GCP, VMWare, and others to meet IT and digital infrastructure requirements with agility and cost efficiency.

DevOps / DevSecOps

Modern DevOps goes beyond turning on cloud resources – security has to be at the core of everything you do in the cloud. To stay relevant, today’s enterprises have to provide secure, durable cloud based services – but how do you know you are fully secure? Security coverage starts at your own code and moves up through cloud architecture, server maintenance, and monitoring of zero day exploits. Our team can help you navigate the changing cloud security landscape.

Business Intelligence and CDPs

Business Intelligence (BI), Customer Data Platforms (CDPs), and DataOps are all closely related and interconnected concepts. BI is a process of transforming data into insights, while CDPs are specialized tools that help businesses collect and integrate customer data from various sources. DataOps, on the other hand, is a methodology that aims to streamline the entire data lifecycle, from acquisition to analysis and deployment.

Together, these concepts form a powerful ecosystem that enables businesses to collect, analyze, and deploy data-driven insights at scale.

VM & Data Center Migration

Our MigrationOps practice is a one-stop Migration Factory for V2V, P2P, P2V, and Forklift migration solutions.

Our proprietary Predictive Analytics Engine (PAE) leverages experience from over a million previous migrations to successfully move machines on the first migration attempt 99.9% of the time.

Our all-domestic team has experience working in regulated industries including healthcare, pharma, FinTech, and can carry government clearance.
  • Data Privacy and Protection Laws Compliance: Adherence to relevant data protection regulations (like GDPR, CCPA) is crucial. This involves understanding the legal requirements for data privacy and implementing systems and processes to comply with these laws.
  • Data Access Control and Authentication: Implementing robust access control mechanisms ensures that only authorized personnel can access sensitive data. This includes using strong authentication methods, role-based access control (RBAC), and the principle of least privilege.
  • Data Encryption and Security: Encrypting data both at rest and in transit is essential for protecting it from unauthorized access. This includes using strong encryption standards and secure communication protocols.
  • Data Lifecycle Management: Effective governance requires a clear understanding of the data lifecycle, from creation and storage to archiving and deletion. Policies should be in place for each stage, ensuring data is handled securely and in compliance with retention policies.
  • Regular Audits and Monitoring: Continuous monitoring of data access and regular security audits help in early detection of potential breaches or non-compliance issues. This also involves keeping logs and audit trails for accountability and forensic analysis.

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