AI Workflow: Continuous Security Scanning
Implement AI-powered security scanning that catches vulnerabilities in code, dependencies, and configurations.
How This AI Workflow Works
This workflow automates security scanning pipeline using AI agents. Each step is handled by a specialized agent, allowing the entire process to run with minimal human intervention. Category: Engineering.
Continuous Security Scanning integrates AI-powered vulnerability detection into every stage of your development lifecycle, catching security issues before they reach production. The workflow scans three attack surfaces: source code for OWASP vulnerabilities like SQL injection and XSS, dependencies for known CVEs and malicious packages, and infrastructure configurations for misconfigurations like exposed ports or overly permissive IAM policies. AI prioritizes findings by exploitability and blast radius, so your team focuses on the vulnerabilities that actually matter rather than drowning in low-severity noise. For companies handling sensitive data, this workflow is essential for maintaining compliance with SOC 2, GDPR, and HIPAA requirements. Real-world teams catch critical vulnerabilities in pull requests that would have been expensive to fix in production. ShipSquad implements this by integrating security scanners into your GitHub Actions pipeline, configuring dependency scanning with tools like Snyk or GitHub Advanced Security, and using AI to triage and prioritize findings so developers spend their time fixing the highest-risk issues first.
Step-by-Step Workflow
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Frequently Asked Questions
What vulnerabilities does AI catch?▾
AI identifies SQL injection, XSS, authentication flaws, insecure dependencies, secret exposure, and configuration issues.
How do I prioritize security findings?▾
AI ranks findings by severity, exploitability, and blast radius. Focus on critical and high-severity issues that are easily exploitable.
Does this replace penetration testing?▾
AI scanning is complementary to penetration testing — it catches known patterns while pentesting discovers novel attack vectors.