Data Privacy by Design

Integration infrastructure at the intersection of sensitive business data

Start with easy integration

Integration infrastructure sits at the intersection of your most sensitive business data. We built Plumbed with a clear principle: we don't need your personal data to do our job — and we've engineered the platform so that even when it appears, it stays protected.

Our Approach

The core engine does not require personal data

Plumbed's integration logic operates on structural and technical data — field mappings, API schemas, transformation rules, and operational metadata.
We do not need customer names, email addresses, order details, or other personal information to route, transform, or synchronise your data flows.
This is by design: the less personal data our infrastructure processes, the smaller the privacy footprint — for you and for your customers.

AI Intelligence and Operational Metadata

Mostly metadata, sometimes business counts

Our agentic layer primarily works with technical and operational metadata — API response codes, schema drift, payload structure anomalies, retry patterns, and sync deltas.
This is the foundation of our self-healing capability.
Plumbed can also answer operational business questions like “Why does my ERP show 10 orders when Shopify shows 100?” or “Which product is your current bestseller across channels?”
Even for these queries, we work with aggregated counts, identifiers, and structural metadata — not raw personal data like customer profiles or contact details.
The goal is operational clarity, not personal data processing.

Protection Mechanisms When Personal Data Appears

Detection, handling, and protection at the infrastructure level

Log sanitisation — sensitive fields are identified and stripped or hashed before being written to any log store
Scoped access controls — diagnostic data is accessible only to authorised roles, with audit trails
Retention policies — technical logs are subject to configurable retention windows aligned with your data minimisation requirements

Masking, Filtering, and Data Flow Controls

Control what reaches each target channel

Plumbed applies a platform-wide masking policy at its own log level and within the data accessible to its queries.
Sensitive fields are masked before they are written to Plumbed’s internal logs or made available for analysis.
Validation rules and filters let you control what data reaches each target channel.
If a field should never arrive at a specific destination, you can define rules to exclude or transform it before it gets there.
You stay in control of what flows where.

LLM-Agnostic Architecture

Including your own locally hosted model

Plumbed’s AI features are not tied to any specific model provider.
We are LLM-agnostic by architecture.
For organisations with strict data residency requirements or policies against sending data to third-party AI providers, Plumbed can connect to a locally hosted LLM of your choice.
That can be a self-managed open-source model running in your own infrastructure or a private deployment within your cloud environment.
This means AI-powered capabilities like self-healing, anomaly detection, and operational queries can run entirely within your controlled environment, with no data leaving to OpenAI, Anthropic, or any external model provider.

A Note on Compliance

Controls for your compliance obligations

We are transparent about where we stand: Plumbed does not currently hold a formal GDPR compliance certification (such as ISO 27001 or a GDPR-specific attestation). What we offer instead is a platform architected to give your organisation the controls it needs to meet your compliance obligations — with the flexibility to adapt to your specific regulatory context.We are happy to support your data protection assessments, answer technical questionnaires (TIAs, TOMs), and work directly with your DPO or legal team.

Technical & Organisational Measures

Download the overview

Review our Technical & Organisational Measures overview for a structured view of platform safeguards, access controls, retention handling, and privacy-oriented operating principles.

Learn more

Start with easy integration

Try now

Get Started