Enterprise administrators deploying Claude for Excel, PowerPoint, Word, and Outlook can review the security architecture for their chosen deployment mode and connect audit logs, usage analytics, and spend tracking to existing enterprise tooling.Documentation Index
Fetch the complete documentation index at: https://claude.com/docs/llms.txt
Use this file to discover all available pages before exploring further.
Security architecture
The Trust Center publishes architecture diagrams that show how user prompts, document content, and responses flow between the Office add-ins, Claude, and your infrastructure. Review the diagram that matches your deployment mode before rollout.- Anthropic first-party: users sign in with their Claude accounts and requests go directly to Claude. See the first-party architecture overview.
- Third-party platforms: requests route through Amazon Bedrock, Google Cloud Vertex AI, Azure AI Foundry, or an LLM gateway. The companion third-party architecture diagram is listed alongside the first-party one in the Trust Center resources; filter for “Claude for Excel, PowerPoint, Word”. See Use Claude for M365 with third-party platforms for deployment guidance.
Audit and observability
Forward Claude for M365 activity to your existing observability stack with a custom OpenTelemetry collector endpoint. When a custom collector is configured, spans are exported unfiltered to that endpoint and include the full audit trail: session identifiers, surface, tool inputs and outputs, and prompt and response content. Treat the endpoint as containing prompt and document content when scoping access controls and retention. Only spans sent to Anthropic’s own collector are allowlist-filtered to strip sensitive attributes; that path is bypassed entirely when a custom endpoint is set. See Configure a custom OpenTelemetry collector for Claude for M365 for the manifest parameters and endpoint requirements.The usage analytics and spend tracking sections below apply when users
sign in with their Claude accounts directly. When connecting through a
third-party platform such as Amazon Bedrock, Google Cloud Vertex AI,
Azure AI Foundry, or an LLM gateway, usage and spend are tracked through
your cloud provider’s billing console and your gateway’s logging instead.