# Palo Alto AI system finds 14,090 unknown open-source vulnerabilities

2026-08-07T04:41:47+00:00 | Technology | Indian Opinion Desk

Corroboration: 1 independent outlet

Palo Alto Networks says its autonomous AI system, NOVA, found 14,090 previously unknown vulnerabilities across 3,915 open-source projects during a two-month evaluation. The company reports that 99.4% had not been publicly disclosed, while nearly 40% were rated High or Critical under CVSS 4.0. NOVA reviews code, identifies flaws, generates and tests proof-of-concept exploits, and prepares disclosure reports and patch guidance. The system found that 92% of its discoveries involved logic or semantic flaws, including access-control failures, path traversal, code injection and server-side request forgery. It also identified 5,421 supply-chain findings, including 1,280 vulnerabilities in dependencies linked to 4,141 downstream exposures. Palo Alto Networks says researchers validated 2,776 exposure paths. Human review remains needed for validation, disclosure and remediation.

## Coverage

- ciso.economictimes.indiatimes.com <https://ciso.economictimes.indiatimes.com/news/vulnerabilities-exploits/ais-dark-side-palo-alto-networks-nova-system-finds-thousands-of-critical-open-source-vulnerabilities/132991652>

Tags: Artificial intelligence, cybersecurity, open source, software vulnerabilities, supply chain
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