> For the complete documentation index, see [llms.txt](https://docs.agenticflow.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.agenticflow.ai/get-started/security-overview.md). # Security Overview This page summarizes AgenticFlow security and data-handling practices. It is not a SOC 2, ISO 27001, HIPAA, PCI, GDPR, or other certification statement. Any compliance commitments, data residency requirements, support SLAs, or private deployment terms must be agreed in a signed enterprise agreement. ## Current Hosting AgenticFlow is operated primarily in the United States unless a separate written agreement states otherwise. Region-specific hosting, customer-controlled cloud deployments, and private infrastructure are enterprise options that must be scoped separately. ## Platform Controls AgenticFlow uses standard security controls for a SaaS workflow platform, including access controls, credential handling, and monitored production infrastructure. Specific controls may vary by plan, deployment model, integration, and third-party provider. ## Data Handling Workflows, agents, knowledge bases, files, prompts, outputs, and integration payloads may be processed to provide the service. Some actions use third-party providers such as model APIs, storage providers, observability tools, payment processors, or analytics services. Users should not send regulated or highly sensitive data unless their plan, configuration, provider settings, and contractual terms support that use case. ## AI Providers Built-in and bring-your-own-key model calls may be processed by external AI providers. Provider handling depends on the model, route, API key, and provider terms in effect at the time of use. ## Security Questions For security questions or vulnerability reports, email with a clear subject line. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.agenticflow.ai/get-started/security-overview.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.