Visualizing WAF Data with autobotAI
Method 1: Custom Workflow Data Export
Build workflows that:
- Query WAF logs from your centralized repository
- Apply intelligent filtering (high-fidelity findings only)
- Export filtered data to visualization tools
- Automate dashboard refresh
Example: Daily workflow exports "Top 10 Attacking IPs" to QuickSight dataset
Method 2: Agentic Interactive Analysis
Use autobotAI's conversational AI agent:
User: "Show me blocked requests by country this week"
Agent: [Queries Security Lake] → [Generates bar chart in chat]
User: "Which Web ACL blocked the most attacks?"
Agent: [Analyzes data] → [Shows comparison graph]
User: "Create a report of SQL injection attempts"
Agent: [Filters for SQLi patterns] → [Generates PDF report]
Benefits:
- Ad-hoc analysis without building dashboards
- Natural language queries of your data
- Charts/graphs generated on-demand in chat
- Export results to PDF or CSV
Integration with Visualization Tools
AWS QuickSight
- autobotAI workflow writes filtered findings to S3
- QuickSight connects to S3 dataset
- Automated refresh on schedule
Grafana/Kibana
- autobotAI sends high-fidelity alerts to Elasticsearch
- Grafana queries Elasticsearch for visualization
- Real-time dashboard updates
SIEM Dashboards
- autobotAI enriches and forwards findings to SIEM
- Use SIEM's native visualization capabilities
- autobotAI handles noise reduction
Example Architecture: WAF Analytics with autobotAI
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Dashboard Strategy Summary
| Need | Solution |
|---|---|
| Real-time WAF metrics | Use Security Lake, CloudWatch, or SIEM dashboards |
| High-fidelity attack trends | autobotAI workflows → Export to QuickSight/Grafana |
| Ad-hoc analysis | autobotAI agentic chat with on-demand charts |
| Compliance reporting | autobotAI native dashboard (GRC, remediation status) |
| Automation operations | autobotAI native dashboard (workflow status, SLAs) |
Key Takeaway
autobotAI focuses on intelligent automation and analysis, not raw log visualization. It makes your existing dashboards smarter by filtering noise and automating responses.
What autobotAI Does
- ✅ Queries your existing log infrastructure
- ✅ Generates high-fidelity findings from noisy data
- ✅ Automates response actions
- ✅ Exports filtered data to your visualization tools
- ✅ Provides agentic chat for on-demand analysis
What autobotAI Does NOT Do
- ❌ Provide centralized log storage
- ❌ Have built-in WAF dashboards
- ❌ Replace your SIEM or Security Lake
- ❌ Store or duplicate your WAF logs