Secure AI Agent · Data Engineering
AI applied to
the pipeline that cannot break
A specialist configured to build reliable loads, monitor quality, defend the schema contract, and chase every discrepancy down to root cause.
Companies that trust UPX
Capabilities
What the Data Engineering Agent
can do
Main areas of work for the Data Engineering AI Agent in your operation.
Pipeline building
Writes the load with idempotency and failure handling.
Discrepancy investigation
Traces the wrong number back to the record that caused it.
Data quality
Creates the test that catches duplicates, nulls, and out-of-range values.
Schema contracts
Detects upstream changes before they break the load.
Data lineage
Shows where the field comes from and who depends on it.
Load diagnostics
Analyzes the job failure and points at what must change.
Skills
Capabilities that compose the specialist
Skills add specific capabilities to the Secure AI Agent according to the processes it needs to execute.
- Root-cause tracing
- Walks the lineage back to the record that produced the deviation.
- Quality tests
- Writes the assertion that blocks a dirty load.
- Schema verification
- Compares the source against the contract and flags the break.
How it worksFrom a number that will not match
From a number that will not match
to a load that holds
Connect your sources, define what the agent can do, and investigate the discrepancy with lineage in hand.
- Connect the bases and the jobs
- The agent works with the environment that already exists.Connect the databases, the orchestrator, and the transformations so the Secure AI Agent has access only to what it needs — broad read access to investigate, write access restricted by approval.
- Ask for the work
- Talk to the agent in natural language.Ask it to investigate a discrepancy, write the missing test on a table, or diagnose a broken job through the available channels. The agent understands the context and shows the lineage it walked.
- The agent proposes. You apply.
- From proposal to deploy, with control.The agent investigates, writes, and tests within the defined permissions. Changing schema, writing to production, and publishing transformations still go through the team's change process.
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Integrations
Connected to the bases and the orchestrators
The Data Engineering Agent can query your environment and run tasks in the systems your team already uses.
PostgreSQL Snowflake Google BigQuery dbt Cloud Apache Airflow
Flow
What goes in,
what the agent does, and what comes out
From the symptom in the spreadsheet to the cause in the record, following your team's process and permissions.
Inputs
- Source tableSQL
- Job logLOG
- Schema contractYAML
Processing
Secure AI Agent
Processing the task
- Read
- Trace
- Isolaterunning
- Propose
Lineage walkedRead-scoped access
Output
Completed
Diagnosis prepared
- Root cause with the record pinpointed
- Quality test proposed
- Schema break flagged
Control
You define how far the Agent can act
Different actions can operate with different autonomy levels, always within your team's process.
- 1
Query
Reads bases and logs and answers with the lineage it walked.
- 2
Prepare
Writes the test and the proposed fix.
- 3
Request review
Waits for approval before touching production.
- 4
Execute
Performs the action within the defined limits.
Levels are configured per type of action. Writing to production bases, changing schema, and publishing transformations always stay under approval, because they break downstream consumers.
Get started
Put a Secure AI Agent to work.
Start on the platform or choose the plan that fits the pace of your operation.
Security and compliance
Security that can be verified.
Certifications and attestations
UPX maintains SOC 2 Type II and ISO 27001, with independent audit over its information security controls.
Privacy and regulation
- LGPD
- Operations follow Brazil's Law 13.709/2018. In AI Agent contracts, UPX acts as data processor; the legal basis remains with your company.
- Zero Data Retention
- A product policy, not a certification: with compatible providers and configurations, processed content is not retained after execution.
- Retention and deletion
- The retention policy is defined by contract. Once the contract ends, data is deleted within the agreed period.
Frequently asked questions
Common questions about the Data Engineering Agent
What data teams usually ask before putting an agent into the pipeline.
Does it fix the discrepancy with a manual patch?
No. Manual patches vanish on the next load. The agent walks the lineage down to the record that caused the deviation and proposes the fix at the source of the problem, with the test that prevents a repeat.Does it write straight to our production base?
Not without approval. Writing to production and changing schema break downstream consumers, so they are sensitive actions by design: the agent proposes the change and it follows the team's deploy process.Does it decide what the right metric value is?
No. It makes sure the number is reproducible and traceable to its origin. The business definition of the metric stays with the area that uses it — the agent applies the current definition.Do we need a modern warehouse to use it?
No. It works with what exists, including relational databases and scheduled loads. If a warehouse and a transformation tool are there, it uses them; if not, it can still investigate and test what is in place.How does it detect upstream changes?
It compares what the source delivers against the recorded schema contract and warns when a field changes type, disappears, or starts arriving null — before the load breaks the report someone consumes.Is our data used to train models?
No. Content processed by Secure AI Agents is not used to train UPX models or third-party models.Can we audit what the agent did?
Yes. Every action is logged: what was queried, which lineage was walked, when, in which system, and under which permission. The history stays available for review and auditing.
Secure AI Agent
Bring a Secure AI Agent to your data engineering team
Talk to our specialists and see how to adapt this AI Agent to your processes, systems, and needs.