The Shadow IT AI Problem: Securing Enterprise AI with AWS Bedrock

Thought Leadership

AI is no longer a futuristic novelty, it is a fundamental driver of workplace productivity. But this rapid adoption has created a massive headache for IT and security leaders. If you don’t provide approved AI tools, your staff will find other ways to use them, utilizing consumer versions that expose your sensitive data to model providers.

This is the AI “Shadow IT” problem. Employees want to work faster, but in doing so, they are pasting proprietary code, financial summaries, and customer data into public web interfaces. Securing enterprise AI means providing a tool that is as capable as the public models, but entirely contained within your organization’s security perimeter.

The Gaps in Standard Enterprise Subscriptions

To combat Shadow IT, many organizations attempt to procure standard commercial AI subscriptions, assuming this puts their data behind a secure wall. However, standard Claude subscriptions come with significant blind spots for heavily regulated businesses:

  • Claude Team: This tier has no data residency guarantee. Your prompts and responses may be processed and retained on servers outside the UK or EU, which is often a dealbreaker for regulated organizations.
  • Claude Enterprise: While offering zero data retention, it explicitly limits this protection to Claude Code. Claude Chat and Claude Cowork are excluded. Furthermore, it still offers no guarantee that data is processed within a UK or EU region.
  • Procurement Delays: Trying to secure authorization through the Anthropic sales team is a slow, uncertain process with no guaranteed outcome.

”In almost every organization we assess, we uncover AI shadow IT. If you don’t equip your teams with secure, approved tools, they will inevitably find workarounds, and your proprietary data goes right out the door with them. – Rafiq Hilali, CTO, Lambert Labs

The Solution: Building a Trust Boundary with AWS Bedrock

To successfully eliminate AI Shadow IT, you have to bring the AI model directly into your own controlled environment. By deploying Claude Cowork backed by Amazon Bedrock, you own the entire stack, giving you complete control over where your data is stored and processed.

Here is how Lambert Labs secures your enterprise AI deployment on AWS:

  • Centralized Oversight: A LiteLLM Gateway enables centralized API key management, per-user token usage visibility, and cost controls.
  • Absolute Zero Data Retention: Amazon Bedrock never stores your prompts or uses your data to train models. Your data is never shared with the model provider.
  • Guaranteed Data Residency: You can configure that your inference only occurs in specified regions, meeting your strict compliance requirements. EU-wide data residency is available by default, with strict UK-only processing configured for organizations where single-region compliance is required.

Regain Control of Your AI

You don’t need to choose between staff productivity and data security. Lambert Labs builds a secure, compliant AWS foundation engineered for your regulated workloads.

Deployed in weeks and fully managed end-to-end, this approach guarantees your team gets the AI tools they demand, and you get the zero-retention, localized security you require.

Get in touch

If you are an IT or security leader looking to eliminate AI Shadow IT, secure your enterprise workflows within an AWS trust boundary, or safely integrate Claude into your everyday tools, we’d love to hear from you.

Contact us today to discuss your AWS project.