Products

NUBISON Agent Platform

NUBISON Agent Platform unifies the creation, management, operation, and evolution of Agents on a single platform,
and guarantees safe autonomous operation with triple governance of approval, audit, and permission.

As AI Agents grow,
operational complexity grows with them

When AI Agents run separately by department and use case, efficiency gets fragmented and operational complexity increases.

01

Fragmented Agent Operations

Challenge
  • Individual Agents operated per department and function drive up redundant development and maintenance costs.
NUBICORE Solution
  • Unify creation, management, and operation of Agents on a single platform
02

Difficulty in Control and Management

Challenge
  • It is difficult to holistically manage Agent operations and data access history.
NUBICORE Solution
  • Operate Agents with clear type distinctions by use case (task, analysis, physical)
03

Absence of Continuous Improvement

Challenge
  • Without systematic feedback from execution results, improvements to Agent performance are delayed.
NUBICORE Solution
  • A structure in which Agents self-evolve through feedback loops

What matters more than the number of AI Agents is
systematic operation and governance.

Impact proven by the numbers

Routine Task Time
60%
Routine task time reduced

Document & report automation

Analysis Productivity
3x
Analysis productivity boost

AI-powered prediction & analysis acceleration

Autonomous Operation
24/7
24-hour continuous operation

Schedule/trigger-based autonomous execution

Audit Trail
100%
Full audit traceability

Every Agent action recorded

3-Layer Governance

Secure governance and
proven operational impact

Ensure safe autonomous operation with triple governance: Approval · Audit · Permission.

Approval Workflow

Human-in-the-Loop Approval

  • High-risk actions execute only after administrator approval
  • Policy-driven approvers, wait times, and approval conditions
  • Mandatory for physical Agent control commands
  • Configurable auto-approval rules for emergencies
# Approval policy (example) risk: high approver: Production Lead timeout: 10m → reject emergency: temp > 90 → auto
Audit & Traceability

Audit Trail Logging

  • Chronologically log every Agent action
  • Trace inputs, inferences, outputs, and invoked Skills in full
  • Immediately usable for compliance and incident root-cause analysis
  • Immutable log storage
# Audit log (example) 14:02 input temp 82.4 °C 14:02 skill ml.anomaly_rca 14:03 output coolant +15% 14:05 approve Production Lead
Role-Based Access

RBAC Permission Management

  • Separate Agent creation, execution, and modification permissions by role
  • Limit access scope to Skills, data, and systems
  • Isolation by department and project
  • Secure management of external system integration credentials
# Role-based permissions (example) Create Execute Modify Admin ✓ ✓ ✓ Operator ─ ✓ ✓ User ─ ✓ ─

AI Agent autonomy must be built on systematic governance.
The triple structure of Approval · Audit · Permission guarantees safe operation.