security · tool agent
Data Classification Tagger Agent
Turn data classification tagger requests into verified security assessment memo using observable tool steps.
- security
- siem
- vuln-db
- data-classification
How to watch
Play starts at Input. Each station works, then a labeled packet travels the wire.
On station · 5.2s · 0/0
Packets stay on the wire. This is a conceptual simulation, not a live model run.
What Data Classification Tagger Agent does
A data classification tagger agent is an AI agent specialized in data classification tagger. It does not answer from memory alone. It correlate findings with cve and policy data, stores observations, verifies completeness, and delivers security assessment memo with explicit gaps when tools fail.
The agent receives a data classification tagger task, plans tool calls (siem, vuln-db, policy-scanner, ticket), executes correlate findings with cve and policy data, keeps working notes, verifies the draft, and publishes security assessment memo. If scanner api rate limit blocked full repository scan, it scan highest-risk paths first and queue the remainder. This page simulates that observable loop — not private chain-of-thought.
Workflow
Each step maps to a node in the lab above. and watch the packets travel.
- 01Input
Receive task
Accept the data classification tagger request and output constraints.
Data preview
In
Run data classification tagger for Q3: produce security assessment memo with audit trail.
Out
Normalized objective: produce security assessment memo.
- 02Plan
Plan the run
Choose tool order for Correlate findings with CVE and policy data.