Diplomat MFT from Coviant Software is a secure and scalable managed file transfer platform that replaces manual scripts and outdated FTP with reliable, automated file delivery. It supports secure protocols like SFTP, FTPS, HTTPS, and AS2, and integrates easily with cloud services including AWS S3, Azure Blob Storage, Google Cloud, Oracle Cloud, SharePoint, Dropbox, and more.
Trusted for over 20 years without a single breach, Diplomat MFT helps organizations meet compliance standards like HIPAA, HITECH, GLBA, PCI/DSS, GDPR, and DORA. Advanced security features include automated PGP encryption, MFA, IP whitelisting, and threat intelligence scanning.
Still using insecure or outdated tools for critical file transfers? Diplomat MFT is the smarter alternative. Built to simplify operations, close compliance gaps, and protect your most sensitive data.
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Most enterprises can report what AI cost them. Far fewer can say which team owns it, whether it was approved, or what it returned.
FinOpsly closes that gap. The platform governs AI spend on the same cost model that carries the cloud, data platform and SaaS an AI workload consumes, so a business unit sees the full cost of an AI initiative instead of four disconnected bills.
Capabilities include:
Cost estimation before deployment. Model an architecture and get a priced workload across model APIs, GPU capacity, warehouse consumption and storage, with the assumptions on screen. Weigh model choices against consumption you have actually measured.
Attribution that holds up in a chargeback cycle. Spend resolves to owners, teams, applications, business units and customers through hierarchies nine or more levels deep. Tagging is standardized across providers, keys and resources are labeled in bulk from plain-language rules, and whatever remains unattributed is published as a number, not absorbed.
Guardrails that act. Set budgets by project, team or API key. Catch anomalies with root cause and route them to whoever owns the resource. Surface waste that provider tooling misses, using FinOpsly's own detection models. Plan commitments across AWS, Azure and Google Cloud. Park idle compute on approved schedules, reversibly.
Financial results you can defend. Automated chargeback in a single cycle. Savings measured as what reached run-rate against a no-action baseline. Unit economics down to cost per call, per active user and per customer served.
For technology and finance leaders accountable for what AI spend returns.
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Azure Stack Edge
Execute your workloads and gain immediate actionable insights at the source of data generation with Azure Stack Edge, which offers specialized hardware-as-a-service. You can effortlessly procure your appliance through the Azure portal, adopting a hardware-as-a-service approach that is billed monthly through your Azure subscription. Experience a fluid cloud-to-edge integration as you set up, oversee, and upgrade your Azure Stack Edge using the same management interface and development tools familiar from Azure. Deploy your containerized applications and virtual machines directly at the data creation point for optimal efficiency. Process, transform, and filter your data on the edge, transmitting only the essential information to the cloud for additional processing or storage requirements. Additionally, you can design and train machine learning models in Azure or leverage Azure Cognitive Services, utilizing the integrated NVIDIA T4 GPU or Intel VPU in the Mini R to enhance local processing speeds. This enables businesses to make data-driven decisions faster than ever, significantly improving operational effectiveness.
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Azure Operator Service Manager
The Azure Operator Service Manager revolutionizes the management of operator services by providing a cutting-edge cloud-based solution. It streamlines the modeling process through native Azure abstractions, allowing for operations that are less prone to errors by employing robust deployment strategies. Additionally, it merges various interfaces to support both Azure cloud and edge environments seamlessly. This enables organizations to speed up service deployments and maintain a competitive edge in their respective markets. By minimizing the complexity involved in service orchestration, the Azure Operator Service Manager combines software and configuration management into a cohesive suite of end-to-end Azure operations. Furthermore, it empowers users to create and launch services with advanced features while facilitating flexible integration options for both northbound and southbound operations, establishing a singular and effective Azure service management interface. Ultimately, this innovation positions businesses to respond agilely to ever-changing industry demands.
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