Why manual SBOM and CVE triage doesn't scale
The compliance documentation burden under EO 14028 and NIST SP 800-161 is significant on its own, but the operational friction compounds it: Anchore Enterprise runs the scans, but someone has to export the results, map CVEs against the agency's specific risk tolerance thresholds, create Jira tickets for policy-exceeding vulnerabilities, and assemble the SBOM compliance package for ATO sign-off. Across multiple software products and release cadences, DevSecOps engineers are spending the majority of their compliance cycle on documentation assembly rather than remediation. The result is a security program that's compliant on paper but resource-constrained on actual vulnerability response.
How an AI agent runs the SBOM and CVE triage workflow
An AI Labor Company agent mines historical CVE triage decisions and NIST SP 800-161 control mappings to learn the agency-specific risk tolerance logic already embedded in past decisions. It deploys an agent that triggers on each build in Azure DevOps, runs SBOM generation via Anchore Enterprise, and classifies the resulting CVEs against agency risk thresholds automatically — creating Jira remediation tickets only for policy-exceeding vulnerabilities and routing the complete SBOM compliance package to the Director of Cybersecurity Engineering for sign-off. CVEs within accepted risk thresholds never require manual review. The Director approves the package; the agent handles assembly. Deployments reach full operation in approximately five weeks, eliminating 65–85% of manual compliance documentation effort.
The capacity and risk case
The revenue mechanism here is capacity recovery with a risk floor. Federal IT programs run on tight delivery schedules, and DevSecOps compliance bottlenecks translate directly into ATO delays and program delivery slippage — both of which carry contract performance implications. An agent that consistently delivers SBOM packages within the release cycle, without manual intervention for routine CVEs, lets the engineering team focus on remediating the vulnerabilities that actually exceed threshold. That's both a better security posture and a faster path through the ATO process. At $150,000–$300,000 per year in DevSecOps staff time currently going to compliance documentation, the efficiency return alone justifies the investment — before accounting for the delivery schedule benefits.
How does the agent learn our agency's specific CVE risk tolerance thresholds?
The agent mines historical triage decisions from your Jira and ServiceNow GRC records to extract the classification logic your team has already applied. This is supplemented by explicit threshold configuration during deployment. The logic is transparent and auditable — the Director can review and adjust the classification rules at any time.
Does the agent cover CMMC and FedRAMP compliance requirements, or just EO 14028?
The initial deployment focuses on SBOM generation under EO 14028 and OMB M-22-18, with CVE classification mapped to NIST SP 800-161 controls. CMMC and FedRAMP evidence generation can be layered into the workflow as a follow-on phase, as the underlying data assets (SBOMs, CVE classifications, remediation tickets) already feed those frameworks.