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2026-08-26 · Logged by the Meridian desk

NIST Seeks Input on Modernizing Vulnerability Database for AI Era

US-FEDNOTABLEConsultationSecurity & incidentsStandards

What changed

NIST is seeking stakeholder input on modernizing the National Vulnerability Database to handle an AI-shaped cybersecurity landscape and improve scalability, automation, interoperability, transparency and utility of vulnerability data.

Who this touches

Security teams, vendors and government bodies that rely on NIST's National Vulnerability Database for standards-based vulnerability management.

Why it matters

Any redesign of the NVD's data model will determine what counts as a verifiable, machine-readable vulnerability record going forward.

Suggested next step — and why

Organizations that consume NVD data for compliance or security operations should weigh in on what a modernized, machine-consumable database should require them to produce.

The clock

Consultation open; closing date not stated in the notice.

The editor's read

The real question NIST is asking isn't how to catalog vulnerabilities — it's what counts as provable, machine-readable evidence of a known one. Data that isn't structured for automation will functionally not exist. — IDV — IDV

Primary source: Federal Register AI documents API — read in the original, not from coverage. Source ID: us-fedreg-ai

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