Monitoring and alerting for suspicious activities

Purpose

1.1. Automatedly monitor IT systems for unauthorized access, unusual login patterns, or anomalous activities indicating security threats.
1.2. Automate real-time detection and response across infrastructure, data, networks, and application layers for Ministry of Education operations.
1.3. Automate alerting responsible teams with actionable details, reducing manual oversight and mitigating risk of data breaches and cyber incidents.
1.4. Enable continuous compliance by automating security event tracking and escalation workflows.
1.5. Automate correlation of multi-source data to identify coordinated attacks or policy violations.

Trigger Conditions

2.1. Automated detection of failed login attempts exceeding policy threshold.
2.2. Alert automation on new device accesses or geo-location anomalies.
2.3. Automated triggers for privilege escalation or abnormal resource usage.
2.4. Automation of incident workflow if malware, ransomware signatures, or blacklisted IP access is detected.
2.5. Triggers on critical configuration changes made outside working hours.

Platform Variants

3.1. AWS CloudWatch
• Feature/Setting: Configure automated CloudWatch Alarms for suspicious metric patterns (e.g., unauthorized API calls).
3.2. Azure Sentinel
• Feature/Setting: Automate security playbooks with custom event triggers from workspace analytics rules.
3.3. Google Chronicle
• Feature/Setting: Use detection rules API to automate event queries and alert generation for unusual activities.
3.4. Datadog
• Feature/Setting: Automated Security Monitoring with custom rules and alert triggers for logs and traces.
3.5. Splunk
• Feature/Setting: Automate correlation searches and configure automated alerts using SPL queries for suspicious behavior.
3.6. IBM QRadar
• Feature/Setting: Automatedly generate offenses by setting up Custom Rules Engine for abnormal activity events.
3.7. PagerDuty
• Feature/Setting: Automate escalation policies linked to alerting services—trigger incident routing.
3.8. Sumo Logic
• Feature/Setting: Automate detection of anomalous logins with Scheduled Searches and Outlier Detection API.
3.9. Okta
• Feature/Setting: Set automated alerting via Security Event Hooks for suspicious login or authentication attempts.
3.10. Rapid7 InsightIDR
• Feature/Setting: Automate user behavior analytics with Custom Alert Rules—generate guided response tasks.
3.11. ServiceNow Security Operations
• Feature/Setting: Incident Response Automation configured with security incident event connectors.
3.12. Microsoft 365 Defender
• Feature/Setting: Automated investigation triggers for account compromise and alert policies via Security & Compliance API.
3.13. Cisco SecureX
• Feature/Setting: Automate orchestration flows for security events using the SecureX automation module.
3.14. LogRhythm
• Feature/Setting: Automator configures advanced correlation rules and alarm automation.
3.15. Graylog
• Feature/Setting: Event Definitions automate alert conditions; set up notifications via integrations.
3.16. ArcSight
• Feature/Setting: Real-time automated alerting using Active Channel Rules and Notification Actions.
3.17. Slack
• Feature/Setting: Automated alert delivery via Incoming Webhooks or Bot Users for real-time notifications.
3.18. Twilio SMS
• Feature/Setting: Automate sending critical event notifications using Twilio Programmable SMS API.
3.19. SendGrid
• Feature/Setting: Automated email alerting via SendGrid Mail Send API tied to suspicious activity detection.
3.20. Jira Service Management
• Feature/Setting: Automate incident ticket creation and assignment from incoming alert webhooks.
3.21. Alerta
• Feature/Setting: Automator engine for correlating and deduplicating incoming alerts; configure notification routing.

Benefits

4.1. Automated threat detection dramatically reduces response time and mitigates impact.
4.2. Automation allows proactive mitigation of security risks without constant manual monitoring.
4.3. Automatedly ensures compliance and audit readiness by systematically documenting incidents.
4.4. Automation reduces alert fatigue through intelligent event correlation and prioritization.
4.5. Automating workflows streamlines communication and incident resolution among IT teams.