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Google's Threat Intelligence Group reports a significant surge in vulnerability disclosures driven by AI agents, with half of the newly identified flaws enabling remote code execution. The data suggests attackers are leveraging large language models to rapidly convert known public vulnerabilities into active exploits, shifting the threat landscape from zero-days to "n-days." This highlights how AI is fundamentally altering both the discovery and weaponization phases of the software supply chain.

Sources coveringSiliconANGLE, Cybersecurity News

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Google finds vulnerability disclosures doubled as AI changes which flaws get discovered

SiliconANGLESeptember 30, 20265 min read

A new report out today from Google LLC’s Google Threat Intelligence Group finds that monthly software vulnerability disclosures doubled between January and August. Not surprisingly, artificial intelligence is changing which flaws get discovered as well, and GTIG said half of those turned up by AI agents allow remote code execution. August’s count of 10,740 vulnerability […] The post Google finds vulnerability disclosures doubled as AI changes which flaws get discovered appeared first on SiliconANGLE.

A new report out today from Google LLC’s Google Threat Intelligence Group finds that monthly software vulnerability disclosures doubled between January and August. Not surprisingly, artificial intelligence is changing which flaws get discovered as well, and GTIG said half of those turned up by AI agents allow remote code execution. August’s count of 10,740 vulnerability disclosures was more than twice January’s 5,045. GTIG cautioned that raw totals can overstate the threat, because automated identifier assignment in open-source ecosystems inflates them. Flaws with “Linux Kernel” in their descriptions accounted for about 5,000 records this year without producing a single…

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