Security Affairs reports that a new ENISA assessment says frontier AI could compress the time between vulnerability discovery and exploitation. The assessment, as described in the supplied report, frames cybersecurity as a race in which attackers may use advanced AI to move faster, increasing pressure on defenders to detect, patch, and respond at machine speed.
This is a risk assessment, not a report of one newly confirmed attack or a finding that every frontier model can already automate the full attack lifecycle. The excerpt does not identify a specific vulnerability, victim, or measured exploitation timeline.
Its value is strategic: organizations that depend on long patch cycles, manual triage, or inconsistent asset inventories may have less time to react if offensive capabilities become faster and more scalable. Security leaders should use the warning to test whether critical exposures can be identified and prioritized quickly, while preserving human review for high-impact actions.
WHY IT MATTERSWhy this changes the risk
A faster attack lifecycle would change the practical meaning of patching and monitoring. A delay that was previously inconvenient could become an exploitable gap if attackers discover and use weaknesses before defenders complete assessment. ENISA’s warning is forward-looking, and the supplied material does not quantify the change or name a current campaign.
Still, it gives security teams a reason to measure their own time from asset discovery to remediation, strengthen vulnerability prioritization, and rehearse decisions that may need to happen faster than ordinary change processes allow.
