Join us in just a few hours as Simon Coombes and Kevin Krom walk through how to securely process unstructured data at scale with the right deployment model 👇
SaaS convenience or in-VPC control? When it comes to processing sensitive unstructured data, the answer is determined by your risk tolerance, compliance needs, and operational reality. On one hand, a SaaS solution gets you running in minutes with zero DevOps overhead. On the other, locking down your pipeline completely within your own VPC gives your security team peace of mind but can saddle your engineers with a significant operational burden. The reality is that most teams need to operate somewhere on this spectrum. The key is understanding all the options and their specific implications for security and operational load. At Unstructured, we offer three core deployment models that each come with their own set of tradeoffs: ☁️ Shared Multi-tenant SaaS: The "hands-off" model. Ideal for speed and convenience, but requires you to fully trust our security architecture, as data is processed in a shared, multi-tenant environment. 🏢 Dedicated SaaS Instance: The balanced approach. You get dedicated hosted resources and enhanced security through network isolation, striking a middle ground between convenience and control. 🔒 Fully In-VPC: The maximum control model. The entire data pipeline runs inside your network. It's the gold standard for compliance and sensitive data, but it makes your team responsible for all provisioning, scaling, and maintenance. Choosing the right model has massive implications for your security posture and your team's workload. There's no single "best" answer—only the one that's right for your data and your organization. #UnstructuredData #DataEngineering #CloudSecurity #DevOps #SaaS #VPC #DataGovernance #Scalability #RAG #RAGPipelines #AI #GenAI #ETL #ETL+ #RAG #UnstructuredData #LLM #MCP #EnterpriseAI #RAGinProduction #LLMready #Unstructured #TheGenAIDataCompany
