AIOps

Perfecting IT Operations
with Polestar AI

Polestar AI intelligently carries out the entire IT operations process, from anomaly detection to analysis, prediction,

and automation.

Polestar AI intelligently handles the entire IT operations process,

from anomaly detection to analysis,

prediction, and automation.

AI dashboard interface for Nexum app
AI dashboard interface for Nexum app
AI dashboard interface for Nexum app

Overview

AI-based IT operations analytics

AI analyzes operational data to automatically perform everything from anomaly detection to root cause analysis.

AIOps goes beyond simple monitoring

from prediction → detection → analysis → response → to reporting,

it is an integrated platform that

automates the entire IT operations process with AI.

Threshold Recommendation

Automatically calculates optimal thresholds based on operational data, supports setting notification criteria, and minimizes unnecessary alarms

다가오는 일정과 할 일을 강조하는 최소한의 캘린더 보기.
Abnormal performance anomaly detection

Anomaly detection and status analysis based on real-time performance data

다가오는 일정과 할 일을 강조하는 최소한의 캘린더 보기.
Abnormal performance anomaly detection

Anomaly detection and status analysis based on real-time performance data

Key Features

Core Features of Polestar AI

Polestar AI
Core Features

AI that has learned operational data automatically performs everything from anomaly detection to root cause analysis and response.

AI trained on operational data automatically performs everything from problem occurrence

to response from the very beginning.

Performance Anomaly Detection

Anomaly detection and status analysis based on real-time performance data

Log Anomaly Detection

Anomaly Pattern Detection and Potential Failure Identification Based on Mass Log Data

AI Root Cause Analysis (RCA)

Event data-based root cause analysis and impact assessment

Automatic Threshold Recommendation

Calculation of optimal thresholds and setting of notification standards based on operational data

AI-Powered Report Generation

Supports automatic generation and documentation of reports based on failure analysis results

Natural language-based operation

Retrieval of operational data and provision of analysis results through natural language queries

Solution Experience

AI-based automatic threshold recommendation

The optimal threshold
found by AI

AI automatically calculates the optimal threshold based on past data to

reduce false alarms and accurately provide only the necessary alerts.

Proactively detect anomalies through AI-based analysis

and quickly identify and respond to issues

through event correlation and root cause analysis

AI dashboard interface for Nexum app
AI dashboard interface for Nexum app
AI dashboard interface for Nexum app
Automatic Threshold Recommendation

By analyzing past and real-time operational data, it automatically calculates the optimal threshold for each service and applies dynamic thresholds that reflect change patterns to reduce false alarms and provide only the necessary alerts.

Solution Experience

Performance Anomaly Detection

Detects real-time performance anomalies and continuously analyzes operational status based on AI

Proactively detect anomalies through AI-based analysis

and quickly identify and respond to issues

through event correlation and root cause analysis

AI dashboard interface for Nexum app
AI dashboard interface for Nexum app
AI dashboard interface for Nexum app
Anomaly Detection

Detects performance anomalies early by learning normal patterns based on operational data, and analyzes change trends to identify and support responses to potential failures in advance.

Benefits

Why Choose Polestar AI

Polestar AI
Why Choose Us

Reduce troubleshooting time

Reduce MTTR (mean time to resolution) with AI-powered root cause analysis and automated response

Operations Automation

Improving operational efficiency based on automation of the entire process of analysis, judgment, and response

Minimize false positives

Improving AI-based anomaly detection accuracy and reducing unnecessary alarms

Predictive Operations

Securing operational stability through proactive response based on anomaly detection

Reduce operating costs

Resource optimization and automation-based operating cost reduction

Advancing Operational Decision-Making

Supporting fast and accurate decision-making by providing data-driven insights