> For the complete documentation index, see [llms.txt](https://roborus.gitbook.io/whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://roborus.gitbook.io/whitepaper/system-architecture/5.5-privacy-layer.md).

# 5.5 Privacy Layer

Privacy is the cornerstone of Roborus, enforced at multiple levels.

#### **End-to-End Encryption**

* Jobs, results, and telemetry are encrypted from sender to recipient.
* Prevents leaks even if intermediaries access the data pipeline.

#### **ZK Proofs for Delivery & Presence**

* Robots submit mathematical proofs instead of raw logs.
* Proofs confirm “what happened” without showing sensitive details (e.g., GPS trails or video).

#### **Token Gated Access**

* Sensitive datasets (e.g., warehouse maps, industrial schematics) can be locked behind tokenized access.
* Ensures only authorized stakeholders can decrypt and use the data.

This **privacy-first stack** guarantees that enterprises, robot owners, and users can operate securely without exposing trade secrets or personal environments.