Vulnerability Discovery and Exploitation Trends in the AI Era
Written by: Robin Grunewald, Supriya Mazumdar, Kelli Vanderlee Introduction Google Threat Intelligence Group (GTIG) examines vulnerability disclosure and exploitation statistics to evaluate the impact of artificial intelligence (AI) on the vulnerability threat landscape. We found that AI is measurably changing not just the pace of vulnerability discovery and exploitation, but also the types and typical risk profiles of vulnerabilities that are being discovered. Key findings: Vulnerability disclosures doubled: the number of vulnerabilities disclosed per month doubled, rising from 5,045 in January 2026 to 10,477 in July and continuing to climb to 10,740 in August 2026. Vulnerability exploitati
Read at Google Threat Intelligence Group (Mandiant)
- Vendor
- EPSS
- 0.93 (p100)
- Exploitation
- observed in the wild
Why it ranks 56 (High)
- Exploitation observed in the wild
- EPSS 0.92 (high probability of exploitation)
- Covered by 3 independent sources
- Threat research
- Recency: items published within 24 hours gain 15, within 72 hours 6, within 7 days 2.
Links
- Google Threat Intelligence Group (Mandiant) (cloud.google.com)
- CVE-2026-1731 on this site · NVD · CVE.org · Vulnpedia
- CVE-2026-42271 on this site · NVD · CVE.org · Vulnpedia
- CVE-2026-5027 on this site · NVD · CVE.org · Vulnpedia
- CVE-2025-3248 on this site · NVD · CVE.org · Vulnpedia
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