Why CISOs Should Automate SBOM Management With AI
TechTarget SearchSecurity, Thursday, July 16th, 2026
AI-driven automation can keep software bills of materials accurate at CI/CD speed, but CISOs must guard against false positives and automation bias.
Nearly all software codebases contain constantly changing open-source components, making accurate SBOM documentation essential for vulnerability management.
AI-driven tools automate SBOM creation by regenerating inventories during CI/CD builds, identifying components via machine learning, detecting production drift, and correlating vulnerabilities by exploitability rather than raw count.
Regulatory pressure is mounting, with the EU Cyber Resilience Act and CISA guidance mandating machine-readable SBOMs and substantial non-compliance penalties.
CISOs should nonetheless treat AI output as a strong draft requiring human verification, given false positives, model opacity, and automation bias.