Code Vulnerability Detection → Risk Assessment → Security Dashboard
Create an automated security pipeline that uses AI to validate real vulnerabilities, assess business risk impact, and maintain a live dashboard for security teams.
Workflow Steps
Semgrep
Scan codebase for vulnerabilities
Configure Semgrep to continuously scan your codebase using its AI-powered rule engine that goes beyond pattern matching to understand code context and reduce false positives. Set up rules for common vulnerability classes like SQL injection, XSS, and authentication bypasses.
Python Script
Validate and score findings
Create a Python script that receives Semgrep findings and applies additional AI-driven validation using constraint reasoning. Score each vulnerability based on exploitability, business impact, and confidence level. Filter out false positives using contextual analysis.
Airtable
Store vulnerability database
Automatically log validated vulnerabilities to an Airtable base with fields for severity, affected components, remediation status, and business risk score. Set up views for different stakeholders (developers, security team, management).
Notion
Generate security dashboard
Create a live Notion dashboard that pulls data from Airtable to show vulnerability trends, top risk areas, remediation progress, and team performance metrics. Include charts showing false positive reduction compared to traditional SAST tools.
Workflow Flow
Step 1
Semgrep
Scan codebase for vulnerabilities
Step 2
Python Script
Validate and score findings
Step 3
Airtable
Store vulnerability database
Step 4
Notion
Generate security dashboard
Why This Works
Combining AI-powered detection with constraint-based validation significantly reduces false positives while the integrated dashboard provides clear visibility into actual security posture.
Best For
Security teams managing large codebases who need accurate vulnerability tracking without alert fatigue
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