Overview
This workflow automates the monitoring and analysis of cybersecurity threats by integrating real-time data feeds, AI-driven risk evaluation, and automated alerting.
Key Features
- Scheduled Trigger: Initiates daily via a cron schedule.
- Threat Data Aggregation: Fetches CVE and IOC feeds through HTTP requests.
- Data Merging & Processing: Merges and processes threat data using custom code nodes.
- AI Risk Analysis: Utilizes AI to evaluate and triage vulnerabilities for prioritization.
- Automated Alerts: Triggers conditional alerts and sends detailed email notifications for high-risk threats.
- Google Sheets Integration: Logs and tracks threat data and analysis results for reporting and audit.
Benefits
- Real-Time Awareness: Ensures up-to-date visibility into emerging security threats.
- AI-Driven Prioritization: Reduces manual analysis by leveraging AI for risk scoring and triage.
- Automated Communication: Delivers instant email alerts to relevant stakeholders, improving response times.
- Centralized Reporting: Maintains a structured record of threats and actions in Google Sheets.
Use Cases
- Security teams seeking automated threat intelligence and alerting.
- Organizations needing to streamline vulnerability management workflows.
- IT departments aiming to enhance incident response with AI-driven insights.