{"id":1119,"date":"2026-08-18T10:52:12","date_gmt":"2026-08-18T10:52:12","guid":{"rendered":"https:\/\/awaretium.eu\/?p=1119"},"modified":"2026-09-15T08:04:26","modified_gmt":"2026-09-15T08:04:26","slug":"post-5","status":"publish","type":"post","link":"https:\/\/awaretium.eu\/en\/post-5\/","title":{"rendered":"Negative Exploit Time: When Defence Must Operate at Machine Speed"},"content":{"rendered":"\n

Frontier AI does not merely accelerate cyber threats. It fundamentally changes the timeframe within which organisations must detect, decide and respond.<\/p>\n\n\n\n

According to ENISA recent analysis<\/a>, advanced AI models can accelerate the entire attack chain\u2014from vulnerability discovery to exploitation. Code capable of exploiting a newly identified vulnerability may be produced rapidly, while the journey from initial access to data theft may take only hours.<\/p>\n\n\n\n

The central question is therefore no longer simply whether an organisation has appropriate security tools. It is whether its defensive and decision-making processes can keep pace with attacks operating at machine speed.<\/p>\n\n\n\n

When the Patching Window Disappears<\/h4>\n\n\n\n

Traditional vulnerability management assumes there is sufficient time between the discovery of a flaw, the release of a patch and active exploitation.<\/p>\n\n\n\n

That assumption is becoming less reliable.<\/p>\n\n\n\n

ENISA describes a potential \u201cnegative exploit time\u201d scenario, in which attackers may possess the knowledge or code needed to exploit a vulnerability before a vendor patch becomes available. Frontier AI is not merely a faster search tool: it can interpret application logic, connect configuration weaknesses with permission issues, and construct complex attack paths from those findings.<\/p>\n\n\n\n

For this reason, a vulnerability\u2019s CVSS score alone is no longer sufficient for setting remediation priorities. Organisations must also consider:<\/p>\n\n\n\n