Modernizing Vulnerability Sharing for AI Threats and Policy
🔐 The post argues that traditional vulnerability-sharing frameworks built around software flaws are inadequate for adversarial AI threats such as poisoning and inference attacks that target models and data rather than code. It recommends bridging existing cyber infrastructure — including the CVE Program, CVSS, CNAs, the NVD and CISA’s KEV Catalog — with new standards for AI artifacts like poisoned datasets and backdoored models. Palo Alto Networks supports the White House AI Action Plan and the proposed AI-ISAC to accelerate adoption, coordinate disclosure, and help operationalize AI-specific vulnerability management.
