LGPD for Task Decomposition

When a contractor leaves a data‑processing project, the CI job they authored continues to run with the same service account that was granted full read/write access to the customer database. The pipeline extracts personal records, enriches them, and writes the results to a reporting bucket. No one reviews each execution, and the logs are stored in a generic syslog file that is rotated weekly. If the contractor’s token is later compromised, every downstream system inherits the exposure.

Brazil’s General Data Protection Law (lgpd) requires organizations to keep detailed records of how personal data is accessed, transformed, and disclosed. Article 9 mandates a log of processing activities, while Article 15 obliges data controllers to demonstrate that only authorized purposes were pursued. The regulation also stresses data minimization and the ability to audit any automated decision‑making process.

Task‑decomposition pipelines often ignore these requirements. Engineers typically grant a single token broad privileges, then let dozens of micro‑tasks run unchecked. The result is a black box: auditors cannot trace which task touched which record, and any accidental over‑collection goes unnoticed.

What the pre‑condition fixes and what remains open

Moving to per‑task service accounts reduces the blast radius of a compromised credential. Each micro‑task now receives a token scoped to the specific table or API it needs. However, the pipeline still connects directly to the database, and the platform does not capture a granular audit trail, mask sensitive fields, or require human approval for risky queries. The setup alone does not satisfy lgpd’s evidence requirements.

How hoop.dev creates the required lgpd evidence

hoop.dev sits in the data path between the task‑decomposition engine and the target infrastructure. By acting as an identity‑aware proxy, it inspects every wire‑protocol request before it reaches the database, SSH host, or HTTP service.

Setup: identities are issued by an OIDC provider (Okta, Azure AD, Google Workspace, etc.). The pipeline authenticates to hoop.dev with a short‑lived token that carries the user’s group membership and the service‑account role. hoop.dev validates the token and maps it to the least‑privilege credential that it holds for the target resource. The engine never sees the credential.

The data path: all traffic flows through hoop.dev’s gateway. At this point the system can enforce policy decisions that are impossible to apply inside the pipeline code. It can:

• Record each query, response, and command with timestamps, user identity, and task identifier.
• Mask personally identifiable fields (e.g., CPF, email) in real time, ensuring that logs never contain raw data.
• Require just‑in‑time approval for operations that exceed a risk threshold, such as bulk deletes or export queries.
• Block disallowed commands (e.g., DROP TABLE) before they reach the database.

Enforcement outcomes: because hoop.dev controls the connection, it automatically generates the audit artifacts that lgpd demands. The session logs provide a reliable audit trail of who accessed what and when. Masked responses prove data minimization. Approval records demonstrate purposeful processing. All of these artifacts are stored outside the pipeline, satisfying the regulator’s requirement for independent evidence.

For teams that already use a get‑started guide, adding hoop.dev is a matter of registering the database as a connection and pointing the pipeline’s client to the proxy endpoint. Detailed instructions are available in the getting started guide and the broader feature documentation. The open‑source repository contains the full codebase and contribution guidelines.

FAQ

Q: Does hoop.dev replace existing IAM policies?
A: No. hoop.dev complements IAM by enforcing additional controls at the gateway layer. IAM still decides who may request a connection; hoop.dev decides what that connection may do.

Q: Can hoop.dev be used with existing CI/CD pipelines?
A: Yes. The pipeline only needs to point its database client to the hoop.dev endpoint and supply an OIDC token. The rest of the workflow remains unchanged.

Q: How long are the audit records retained?
A: Retention is configurable by the organization. hoop.dev stores logs in a location you control, allowing you to align with lgpd’s data‑retention policies.

By placing a controllable gateway in front of every data‑processing task, organizations can turn opaque pipelines into auditable, privacy‑by‑design workflows that generate the concrete evidence required by lgpd.

Explore the source code, contribute improvements, and see how the project evolves on GitHub: https://github.com/hoophq/hoop