AI/ML Keywords Overview
Overview
Halaman ini menyediakan keywords yang relevan untuk penggunaan AI tools (seperti ChatGPT, Claude, Copilot) dalam konteks CLM Platform dan observability.
Keyword Categories
1. Core CLM Keywords
centralized_log_management, log_aggregation, log_analysis,
log_search, log_storage, log_retention, log_correlation,
security_information, event_management, siem,
real_time_monitoring, alert_management, incident_response
2. Observability Keywords
observability, monitoring, tracing, metrics, logging,
distributed_tracing, application_performance, infrastructure_monitoring,
service_mesh, service_map, dependency_mapping
3. Security Keywords
security_monitoring, threat_detection, vulnerability_management,
intrusion_detection, intrusion_prevention, security_audit,
access_control, authentication, authorization, encryption,
compliance_monitoring, audit_trail, forensic_analysis
4. Operations Keywords
devops, site_reliability, sre, incident_management,
change_management, configuration_management, capacity_planning,
performance_tuning, optimization, automation
Industry-Specific Keywords
| Industry | Primary Keywords | Secondary Keywords |
|---|---|---|
| Banking | transaction_monitoring, fraud_detection, aml, kyc | pci_dss, iso_27001, basel_iii |
| Healthcare | phi_detection, hipaa_compliance, ehr_monitoring | hl7_fhir, clinical_alerting, patient_safety |
| Government | classified_monitoring, fisma_compliance, fedramp | sovereign_data, critical_infrastructure |
| Retail | e_commerce_monitoring, pci_compliance, inventory | customer_analytics, conversion_tracking |
| Telecom | network_monitoring, cdr_analysis, service_quality | revenue_assurance, fraud_detection |
| Manufacturing | ot_monitoring, scada_monitoring, predictive_maintenance | iot, industry_4_0, oee |
AI Tool Usage
ChatGPT / Claude Prompts
For CLM Configuration
"Configure centralized log management for [industry] using OpenSearch"
"Set up SIEM rules for fraud detection in banking"
"Create HIPAA-compliant audit trail for healthcare"
"Design real-time alerting pipeline for critical infrastructure"
For Analysis
"Analyze these logs for security threats"
"Identify anomalies in transaction patterns"
"Correlate events across multiple systems"
"Generate compliance report for [standard]"
For Troubleshooting
"Why is my OpenSearch cluster slow?"
"How to optimize Fluent Bit for high-volume logs?"
"Debug Wazuh alert correlation rules"
"Fix connectivity issues between Logstash and PostgreSQL"
GitHub Copilot Prompts
For Code Generation
# Generate OpenSearch query for fraud detection
def detect_fraud_transactions(transactions):
"""Detect potentially fraudulent transactions based on velocity and amount"""
# Generate Wazuh rule for healthcare
def create_hipaa_rule():
"""Create Wazuh rule for HIPAA compliance monitoring"""
# Generate audit log handler
def log_audit_event(actor, action, target, result):
"""Log audit event to OpenSearch"""
Keyword Mapping by Use Case
Use Case: Fraud Detection
| Component | Keywords |
|---|---|
| Data Source | transaction_log, payment_log, access_log |
| Detection | fraud_detection, anomaly_detection, pattern_matching |
| Rules | velocity_check, amount_threshold, geo_location |
| Response | alert_generation, block_transaction, notify_user |
| Analysis | forensic_analysis, root_cause, pattern_recognition |
Use Case: Compliance Monitoring
| Component | Keywords |
|---|---|
| Standards | pci_dss, hipaa, fisma, iso_27001, sox |
| Logging | audit_trail, access_log, change_log |
| Reporting | compliance_report, audit_report, risk_report |
| Enforcement | policy_enforcement, access_control, encryption |
| Retention | data_retention, archival, disposal |
Use Case: Incident Response
| Component | Keywords |
|---|---|
| Detection | threat_detection, alert_generation, correlation |
| Triage | severity_assessment, priority_classification |
| Investigation | log_analysis, forensic_analysis, root_cause |
| Containment | isolation, blocking, quarantine |
| Remediation | patching, configuration_update, recovery |
AI Model Training Keywords
For Log Analysis Models
log_classification, log_parsing, log_pattern,
error_detection, anomaly_detection, sentiment_analysis,
text_classification, named_entity_recognition, relation_extraction
For Security Models
intrusion_detection, malware_detection, phishing_detection,
behavioral_analysis, user_entity_behavior, network_anomaly,
threat_hunting, threat_intelligence, vulnerability_scoring
For Predictive Models
failure_prediction, capacity_forecasting, demand_forecasting,
risk_scoring, churn_prediction, revenue_forecasting,
performance_prediction, quality_prediction
Next Steps
- AI Banking - AI for banking
- AI Healthcare - AI for healthcare
- AI General - AI general use cases