How to automate security vulnerability scanning

Automating security vulnerability scanning significantly reduces the time it takes to detect newly disclosed Common Vulnerabilities and Exposures (CVEs), shifting from periodic audits to continuous detection and instant alerting. CodeWords facilitates this process by integrating scanners, large language model (LLM)-powered triage, and team notifications into an automated pipeline that runs in ephemeral sandboxes, prioritizes findings, and routes alerts efficiently. This approach not only identifies vulnerabilities but also explains their severity and suggests fixes, overcoming the limitations of quarterly pen tests, which provide only a point-in-time snapshot, as attackers move faster than ever. By triggering scans on every commit and new advisory, and using AI to filter out noise, teams can focus on critical vulnerabilities and automate remediation processes, such as updating dependencies and revoking exposed keys. Tracking metrics like vulnerability density and mean time to remediation is essential for improving security posture over time, and CodeWords allows for the integration of commercial tools and infrastructure-as-code scanning. The emphasis on continuous scanning ensures that the attack surface remains visible and response times are measured in hours, aligning defenders with the rapid pace of potential attackers.

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