The objective of this project is to design an AI-powered cybersecurity monitoring platform using low-code development integrated with anomaly detection APIs. The system analyzes system logs, detects suspicious behavior patterns, and generates automated threat alerts.
Integrate log analysis or anomaly detection APIs.
Design simulated system log data ingestion module.
Implement AI-based abnormal activity detection logic.
Configure automated security alert notifications.
Build dashboards showing risk levels.
Develop incident classification workflows.
Integrate external email/SMS alert APIs.
Implement escalation workflows for critical threats.
Conduct testing with simulated attack scenarios.
Document AI threat detection architecture.
Present system demonstration with anomaly detection.
