Automated logging and audit trails for critical systems

Purpose

1.1. Ensure comprehensive, real-time, immutable records of all critical system activities (access, changes, failures, exceptions) for compliance, security, incident investigation, and operational transparency in alternative fuel station operations.
1.2. Meet regulatory standards for energy sector auditability and enforce internal security protocols to reduce risks of tampering, fraud, and human error across point-of-sale, fueling, and energy management systems.

Trigger Conditions

2.1. User authentication events (login, logout, failed attempts) detected in POS or SCADA systems.
2.2. Configuration changes or updates in fueling controllers, energy meters, or emission calibration software.
2.3. Detection of system errors, equipment malfunctions, or unauthorized file/system access.
2.4. Scheduled operational milestones, e.g., daily open/close, inventory reconciliation, or reporting intervals.

Platform Variants

3.1. Splunk
• Feature/Setting: HTTP Event Collector API for capturing and indexing logs from critical endpoints.
3.2. Elasticsearch
• Feature/Setting: REST API to ingest JSON log messages from fuel station controllers.
3.3. Sumo Logic
• Feature/Setting: Collector API to automate log forwarding from energy management system endpoints.
3.4. IBM QRadar
• Feature/Setting: Log Source Protocol Configuration for automated syslog reception from networked devices.
3.5. Microsoft Sentinel
• Feature/Setting: Data connector for Azure Monitor to ingest operational and security logs from cloud-based apps.
3.6. Google Chronicle
• Feature/Setting: Ingestion API for event data streams, allowing automated log archiving from core systems.
3.7. AWS CloudTrail
• Feature/Setting: Enable API logging for AWS-hosted systems and push events to S3 for immutable storage.
3.8. Logz.io
• Feature/Setting: API endpoint for automated log shipping from on-premises and cloud workloads.
3.9. Datadog
• Feature/Setting: Log intake API to configure automated data ingestion from POS and tank telemetry.
3.10. Graylog
• Feature/Setting: GELF HTTP input to receive structured log messages from SCADA/PLC endpoints.
3.11. New Relic
• Feature/Setting: Log API for direct programmatic submission of system and audit events.
3.12. Azure Log Analytics
• Feature/Setting: HTTP Data Collector API for log forwarding from fuel management and retail interfaces.
3.13. PagerDuty
• Feature/Setting: Events API for critical error alerting and real-time audit entry notifications.
3.14. ServiceNow
• Feature/Setting: REST API for automated incident creation and record logging from retail station systems.
3.15. Okta
• Feature/Setting: System Log API to capture user authentication and authorization events from fueling apps.
3.16. Salesforce Event Monitoring
• Feature/Setting: EventLogFile API for automated extraction of security/audit event records.
3.17. Syslog-ng
• Feature/Setting: Network log collector configuration to centralize logs via syslog protocol.
3.18. Papertrail
• Feature/Setting: Log destination configuration for direct forwarding from infrastructure endpoints.
3.19. Jira
• Feature/Setting: Issue API for audit-triggered ticket creation related to system anomalies.
3.20. Slack
• Feature/Setting: Incoming Webhook to post real-time alerts of audit log entries to operations channels.
3.21. Fortinet FortiAnalyzer
• Feature/Setting: Log forwarding setup to capture events from connected fuel management gateway appliances.
3.22. Zendesk
• Feature/Setting: API endpoint for creating audit trail tickets from retail and energy system alerts.

Benefits

4.1. Continual compliance with industry and government regulations for security and operations logging.
4.2. Unified, tamper-proof audit trails for rapid root cause analysis and forensic investigation.
4.3. Reduced manual oversight; immediate alerting and workflow initiation upon critical system changes or failures.
4.4. Streamlined reporting and traceability for all critical activities and personnel actions across locations.
4.5. Enhanced operational uptime and security through automated, consistent log management.