All systems

Palo Alto Networks Program

Palo Alto frontier AI scan

Palo Alto Networks' May 2026 frontier-model scan wave, reported as 26 CVEs across more than 130 products, with exact per-CVE model attribution unpublished.

1
Indexed entries
26
CVE IDs tracked
1
Critical/high entries
82%
Evidence index

What it is

Palo Alto Networks describes a May 2026 internal scanning effort using frontier AI models, including Anthropic’s Mythos and Claude Opus 4.7 and OpenAI’s GPT-5.5-Cyber through the Trusted Access for Cyber program.

The company says the May Patch Wednesday wave was the first cycle where the majority of findings came from frontier AI models scanning Palo Alto’s code across more than 130 products.

What is verified

The ledger indexes one conservative entry:

The public advisory pages and CSV verify the vulnerabilities, affected products, dates, and fixes. Palo Alto’s blog supplies the frontier-AI scan attribution at the wave level.

Attribution boundary

This profile has a lower evidence index than entries such as Microsoft MDASH because Palo Alto does not publish a per-CVE attribution map. The source says the majority of findings came from frontier AI models, but individual advisory pages generally credit internal security research teams, external researchers, or both without naming a model.

Bugflation therefore treats this as a vendor-scale AI-assisted disclosure wave, not as evidence that any one model found all 26 CVEs.

Why it matters

Palo Alto’s entry matters because it shows bugflation inside a major security vendor’s own remediation process. The signal is not only model capability. It is the organizational effect: a monthly advisory cadence that normally publishes fewer than five CVEs suddenly had to process a much larger batch after frontier-model scanning.

Sources

Attributed findings

Catalogued entries credited to Palo Alto frontier AI scan.